Workflow Analytics Jobs in Hyderabad

Position: Head of Operations Location: Hyderabad, India Experience: 7-10 years | Full-Time Company Overview: Our vision is to be the leading EdTech company catalyzing the transformation of engineering colleges in India. We envision a future where every engineering student gains access to holistic, industry-relevant education that enhances their skills and employability. Through innovation, we empower students by bridging the gap between academia and industry, shaping the next generation of highly skilled professionals who will contribute significantly to national development. About byteXL: byteXL is revolutionizing engineering education in India and beyond. We partner with colleges to deliver industry-aligned training programs, personalized learning pathways, and real-time analytics aimed at boosting student employability. As byteXL grows, the operations function remains central to driving our success. This is a high-impact opportunity to lead and shape that growth. Role Overview: You will own end-to-end operational strategy, driving efficiency and alignment across product, sales, delivery, and finance teams. You will manage relationships with colleges and institutional stakeholders, ensuring internal execution meets customer expectations and supports business objectives. Key Responsibilities: Lead and own the operations function, including strategy, execution, and delivery across departments. Build, mentor, and lead a high-performing operations team that thrives on ownership, learning, and results. Represent byteXL in client-facing interactions with college leadership such as TPOs, HODs, and Deans. Identify and implement operational improvements using data-driven insights and stakeholder feedback. Develop and enforce SOPs for delivery, reporting, invoicing, and student engagement workflows. Design and maintain performance dashboards that provide clear visibility into operational metrics (weekly, monthly, quarterly). Collaborate with finance and account managers to ensure timely invoicing and collections. Provide internal teams with actionable data insights from student engagement and program usage. Foster cross-functional collaboration to remove barriers and promote alignment across product, delivery, sales, and leadership. Anticipate risks and proactively resolve operational issues to maintain business continuity and customer satisfaction. Participate in leadership meetings, contributing to strategic planning and decision-making. Qualifications: 7-10 years of operations experience, preferably in EdTech, SaaS, or B2B services. Proven leadership capabilities with a track record of building and scaling effective teams. Experience working closely with clients, particularly large institutions or B2B accounts. Strong analytical skills and proficiency with data, reporting tools, and dashboards. Familiarity with accounting processes such as invoicing and collections. Excellent verbal and written communication skills for managing diverse internal and external stakeholders. High ownership mentality, bias for action, and ability to thrive in fast-evolving environments. Preferred / Bonus Skills: Experience building an operations function from the ground up. Prior work with engineering colleges or in the education sector. Hands-on knowledge of CRM, ERP systems, or data visualization tools such as Power BI or Tableau.

Position: EAM Domain Expert Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Medical Benefits About Innovapptive: At Innovapptive, we are transforming industrial operations by connecting front-line workers, back-office teams, and assets through our patented, code-free platform integrated with SAP and IBM Maximo. Our mobile-first connected worker solution digitizes maintenance, operations, and supply chain processes, empowering some of the world s largest brands including Shell, UNICEF, and Newmont Mining to improve asset uptime, productivity, safety, and workforce engagement. Backed by Tiger Global Management and Vista Equity Partners, Innovapptive is recognized as one of the most innovative tech platforms by Nasscom and is Great Place to Work (GPTW) certified for three consecutive years. Role Overview: We are seeking an experienced Maintenance and Reliability Domain Expert to join our team. You will play a key role collaborating with product management and professional services to align our Industrial SaaS offerings with the real-world needs of maintenance and reliability professionals. Your deep domain expertise will help shape product strategy, optimize workflows, and enhance the connected worker experience. Key Responsibilities: Serve as the subject matter expert on maintenance and reliability best practices, including Work Identification, Planning & Scheduling, Execution, and Closure. Collaborate with product management on feature prioritization, roadmap planning, and product enhancements. Analyze user personas maintenance professionals and technicians to deeply understand their pain points and workflow challenges. Optimize maintenance workflows to enhance technician productivity and reduce backlogs. Identify opportunities to minimize downtime via preventive and predictive maintenance strategies. Design and conceptualize user-centric solutions aligned with our mobile-first connected worker philosophy. Gather and prioritize requirements from customers and internal stakeholders into actionable product features. Develop training materials and documentation tailored to maintenance professionals. Stay abreast of emerging trends, technologies, and competitive offerings in maintenance and reliability. Champion rapid product iteration, driving efficiency, quality, and speed-to-market. Collaborate cross-functionally with engineering, design, marketing, professional services, and sales teams. Advocate for customers throughout the product lifecycle using data-driven decision making, user research, and usability studies. Thrive in a fast-paced, startup-like environment demonstrating adaptability, innovation, and results orientation. What You Bring: Required Qualifications: Bachelor s degree in a relevant field; advanced degree or certifications a plus. 8+ years of experience in industrial software focusing on maintenance and reliability processes. Strong expertise in Work Identification, Planning & Scheduling, Execution, and Closure. Excellent analytical, problem-solving, communication, and presentation skills. Ability and willingness to travel as needed. Preferred: Proven collaboration with cross-functional teams (product, engineering, professional services). Experience with mobile-first and connected worker technologies. What We Offer: Competitive compensation including stock options. Exceptional health, vision, and dental coverage for you and your family. Positive, innovative, and entrepreneurial work environment. Opportunity to work with global industry leaders. Generous vacation and paid time off. Paid maternity and paternity leave. Bi-annual performance reviews in an OKR-driven culture. Access to extensive learning & development resources. Participation in diverse interest groups and employee clubs (sports, music, Toastmasters, etc.). Innovapptive does not accept unsolicited resumes from search firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion. All qualified applicants will receive consideration without regard to legally protected characteristics. Qualification : Bachelors degree in a relevant field; advanced degree or certifications a plus.

Job Title: Data Governance Lead Job Location: Hyderabad Job Description As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance. Key Responsibilities: Governance Strategy & Stakeholder Alignment Develop and maintain enterprise data governance strategies, policies, and standards. Align governance with business goals: compliance, analytics, and decision-making. Collaborate across business, IT, legal, and compliance teams for role alignment. Drive governance training, awareness, and change management programs. Microsoft Purview Administration & Implementation Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure. Optimize Purview setup for large-scale environments (50TB+). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake. Schedule scans, set classification jobs, and maintain collection hierarchies. Metadata & Lineage Management Design metadata repositories and maintain business glossaries and data dictionaries. Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions. Ensure lineage mapping (ADF Synapse Power BI) and impact analysis. Data Classification & Security Governance Define classification rules and sensitivity labels (PII, PCI, PHI). Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager. Enforce records management, lifecycle policies, and information barriers. Data Quality & Policy Management Define KPIs and dashboards to monitor data quality across domains. Collaborate on rule design, remediation workflows, and exception handling. Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management. Business Glossary & Stewardship Maintain business glossary with domain owners and stewards in Purview. Enforce approval workflows, standard naming, and steward responsibilities. Conduct metadata audits for glossary and asset documentation quality. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps. Create pipelines for ingestion, lineage, glossary updates, tagging. Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc. Monitoring, Auditing & Compliance Set up dashboards for audit logs, compliance reporting, metadata coverage. Oversee data lifecycle management across its phases. Support internal and external audit readiness with proper documentation. Requirements 7+ years of experience in data governance and data management. Proficient in Microsoft Purview and Informatica data governance tools. Strong in metadata management, lineage mapping, classification, and security. Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools. Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs. Skilled in bridging technical governance with business and compliance goals. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Job Title: Data Governance Architect Job Location: Hyderabad Job Description As a Data Governance Architect at Kanerika, you will play a pivotal role in shaping and executing the enterprise data governance strategy. Your responsibilities include: What You Will Do: Strategy, Framework, and Governance Operating Model Develop and maintain enterprise-wide data governance strategies, standards, and policies. Align governance practices with business goals like regulatory compliance and analytics readiness. Define roles and responsibilities within the governance operating model. Drive governance maturity assessments and lead change management initiatives. Stakeholder Alignment & Organizational Enablement Collaborate across IT, legal, business, and compliance teams to align governance priorities. Define stewardship models and create enablement, training, and communication programs. Conduct onboarding sessions and workshops to promote governance awareness. Architecture Design for Data Governance Platforms Design scalable and modular data governance architecture. Evaluate tools like Microsoft Purview, Collibra, Alation, BigID, Informatica. Ensure integration with metadata, privacy, quality, and policy systems. Microsoft Purview Solution Architecture Lead end-to-end implementation and management of Microsoft Purview. Configure RBAC, collections, metadata scanning, business glossary, and classification rules. Implement sensitivity labels, insider risk controls, retention, data map, and audit dashboards. Metadata, Lineage & Glossary Management Architect metadata repositories and ingestion workflows. Ensure end-to-end lineage (ADF Synapse Power BI). Define governance over business glossary and approval workflows. Data Classification, Access & Policy Management Define and enforce rules for data classification, access, retention, and sharing. Align with GDPR, HIPAA, CCPA, SOX regulations. Use Microsoft Purview and MIP for policy enforcement automation. Data Quality Governance Define KPIs, validation rules, and remediation workflows for enterprise data quality. Design scalable quality frameworks integrated into data pipelines. Compliance, Risk, and Audit Oversight Identify risks and define standards for compliance reporting and audits. Configure usage analytics, alerts, and dashboards for policy enforcement. Automation & Integration Automate governance processes using PowerShell, Azure Functions, Logic Apps, REST APIs. Integrate governance tools with Azure Monitor, Synapse Link, Power BI, and third-party platforms. Requirements 15+ years in data governance and management. Expertise in Microsoft Purview, Informatica, and related platforms. Experience leading end-to-end governance initiatives. Strong understanding of metadata, lineage, policy management, and compliance regulations. Hands-on skills in Azure Data Factory, REST APIs, PowerShell, and governance architecture. Familiar with Agile methodologies and stakeholder communication. Benefits Employee Benefits Culture: Open Door Policy: Encourages open communication and accessibility to management. Open Office Floor Plan: Fosters a collaborative and interactive work environment. Flexible Working Hours: Allows employees to have flexibility in their work schedules. Employee Referral Bonus: Rewards employees for referring qualified candidates. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback. Inclusivity and Diversity: Hiring practices that promote diversity: Ensures a diverse and inclusive workforce. Mandatory POSH training: Promotes a safe and respectful work environment. Health Insurance and Wellness Benefits: GMC and Term Insurance: Offers medical coverage and financial protection. Health Insurance: Provides coverage for medical expenses. Disability Insurance: Offers financial support in case of disability. Child Care & Parental Leave Benefits: Company-sponsored family events: Creates opportunities for employees and their families to bond. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child. Family Medical Leave: Offers leave for employees to take care of family members' medical needs. Perks and Time-Off Benefits: Company-sponsored outings: Organizes recreational activities for employees. Gratuity: Provides a monetary benefit as a token of appreciation. Provident Fund: Helps employees save for retirement. Generous PTO: Offers more than the industry standard for paid time off. Paid sick days: Allows employees to take paid time off when they are unwell. Paid holidays: Gives employees paid time off for designated holidays. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one. Professional Development Benefits: L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development. Mentorship Program: Offers guidance and support from experienced professionals. Job Training: Provides training to enhance job-related skills. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

Data Analyst/BI Developer Location: Hyderabad, India Company Overview Milestone Technologies is a global IT managed services firm that partners with organizations to scale their technology, infrastructure, and services to drive specific business outcomes, including digital transformation, innovation, and operational agility. With a culture focused on building an employee-first, performance-based environment, Milestone has a history of supporting category-defining enterprise clients. We provide solutions in Application Services and Consulting, Digital Product Engineering, Digital Workplace Services, Private Cloud Services, AI/Automation, and ServiceNow. For over 25 years, Milestone has been at the forefront of transforming the IT industry, applying best practices to deliver both short-term and long-term value to clients. By utilizing Intelligent Automation, we help businesses accelerate their IT transformation while improving operational efficiency. With a team of over 3,000 employees serving 200+ companies worldwide, we are committed to delivering innovation and improving productivity in business operations. Job Overview Milestone is seeking a talented and dynamic Data Analyst/BI Developer to join our team. This role involves developing and maintaining interactive dashboards and reports, optimizing SQL queries, and designing data models to support business needs. The ideal candidate will have a strong background in Tableau, SQL, and Power Apps, and will be responsible for transforming business requirements into technical solutions while ensuring data quality and integrity. Responsibilities: Develop and maintain interactive dashboards and reports using Tableau (strong experience required). Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources. Design and implement data models and databases to support business needs. Work with cross-functional teams to understand business requirements and translate them into technical solutions. Create and manage Power Apps to automate workflows and improve business processes. Perform data validation to ensure data quality and integrity. Provide training and support to end-users on data tools and applications. Stay updated with the latest trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 7+ years of proven experience with Tableau for data visualization. 5+ years of strong proficiency in MS SQL Server and experience with relational databases. 2+ years of experience with Power Apps for creating business applications. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Ability to work independently and as part of a team. Experience with other data tools and technologies is a plus. At Milestone, we empower our employees to achieve their full potential in a collaborative and inclusive environment. As a Data Analyst/BI Developer, you will have the opportunity to work on innovative data solutions, enhance business decision-making, and drive meaningful change. Join us and be part of a dynamic team that is revolutionizing the way IT is deployed worldwide. Qualification : Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.

Job Opening: Solutions Architect Location: Hyderabad | Full-Time About Kore.ai Kore.ai is a pioneering force in enterprise AI transformation, empowering organizations through our comprehensive agentic AI platform. With innovative offerings across "AI for Service," "AI for Work," and "AI for Process," we enable over 400+ Global 2000 companies to fundamentally reimagine their operations, customer experiences, and employee productivity. Our end-to-end platform enables enterprises to build, deploy, manage, monitor, and continuously improve agentic applications at scale. We've automated over 1 billion interactions every year with voice and digital AI in customer service, and transformed employee experiences for tens of thousands of employees through productivity and AI-driven workflow automation. Recognized as a leader by Gartner, Forrester, IDC, ISG, and Everest, Kore.ai has secured Series D funding of $150M, including strategic investment from NVIDIA to drive Enterprise AI innovation. Founded in 2014 and headquartered in Florida, we maintain a global presence with offices in India, the UK, Germany, Korea, and Japan. About the Role The Solutions Architect will play a key role in translating business requirements into technical specifications and designing cutting-edge solutions to meet customer needs. The role involves creating detailed design documents, defining implementation strategies, and collaborating with teams to develop high-quality, scalable applications. As a leader, you will work closely with clients to propose technical solutions that resolve business issues while driving the overall architecture and technical direction. What You'll Do Design & Architecture: Prepare detailed design documents and approaches using various tools. Define implementation approaches, algorithms, and code structure to meet requirements. Technical Leadership: Lead the analysis, design, and implementation planning of technical/business solutions. Take a cross-team leadership role to ensure the solution aligns with business objectives. Customer Interaction: Interface with customers to understand their technical environments and propose technical solutions to resolve business challenges. Technology Selection: Stay up to date with the latest technologies and tools, evaluating and selecting appropriate technologies as per project requirements. System Integration: Identify interfaces with other products and ensure seamless integration. Work on scaling and optimizing the performance of large systems and web applications. Development & Implementation: Define and create SOAP & RESTful web services. Work on reporting & analytics, and consumer/employee-facing business applications. Qualifications & Experience Experience: 10+ years of overall technical experience with a minimum of 3 years as a Technical Solution Architect. Technical Skills: Experience in OOPS, Multi-threading, JavaScript, jQuery, Node.js, HTML5, CSS3, and user authentication/authorization models. System Design & Architecture: Experience in defining technical solutions, creating technical specifications, and working on large-scale systems and web applications. Experience in API Development: Expertise in SOAP & RESTful web services, along with experience in system integration and reporting & analytics. Nice to Have: Experience in Smartbot development and integrating with NLP engines, and familiarity with AI frameworks and technologies. Education Qualification Graduate in Engineering or Master's in Computer Applications (MCA) preferred. Be a part of a global leader in AI technology, driving transformation in enterprise operations and customer experiences. Work in an innovative environment with cutting-edge technologies, where you ll lead technical solutions that impact global businesses. Collaborate with a talented team and contribute to building scalable, impactful AI applications that are transforming industries. Kore.ai, founded in 2014 by serial entrepreneur Raj Koneru, is headquartered in Florida, USA, with additional offices in India, the UK, Germany, Korea, and Japan. Our diverse and talented team of professionals is committed to driving the future of enterprise AI solutions. We ve earned recognition from top analysts like Gartner, Forrester, and IDC, making us a leader in the AI space. Qualification : Graduate in Engineering or Master's in Computer Applications (MCA) preferred.

Job Title: Azure DevSecOps Engineer Experience: 5-8 Years Location: Hyderabad About Us: We are a leading technology solutions provider focused on delivering secure, scalable, and innovative cloud solutions. As part of our expansion, we are looking for an experienced Azure DevSecOps Engineer to join our dynamic team. If you have expertise in Azure cloud services, security practices, and DevSecOps automation, we would love to have you onboard! Responsibilities: Cloud Services: Work extensively with Azure cloud services such as IAAS and PAAS, as well as Azure Data Bricks and Azure Data Factory (ADF) for managing data pipelines and analytics workflows. Ensure the security and scalability of cloud services and platforms. Azure Security & Policies: Manage Azure Active Directory (Azure AD) configurations and user access. Implement and maintain Azure Policies to enforce governance and compliance across Azure resources. Ensure secure management of cloud resources using industry-standard security practices. Networking & Monitoring: Work on Azure networking components and security, including network security groups, virtual networks, and firewalls. Configure and monitor Azure Monitoring and third-party monitoring tools to track and report performance, security, and availability metrics of cloud infrastructure. DevSecOps Automation: Implement Azure DevOps pipelines (YAML pipelines) for continuous integration and continuous deployment (CI/CD). Automate Infrastructure as Code (IAC) using Terraform or Bicep to provision and manage Azure resources in a scalable and efficient manner. Collaboration & Documentation: Work closely with cross-functional teams to ensure secure, automated, and reliable cloud infrastructure deployments. Provide documentation for cloud infrastructure, automation processes, and security procedures to maintain standard operating practices. Requirements: Experience: Total 5-7 years of experience in IT infrastructure and cloud technologies, with at least 2-3 years of hands-on experience in Azure cloud services, specifically IAAS, PAAS, Azure Data Bricks, and Azure Data Factory (ADF). Technical Skills: Expertise in Azure AD, Azure Policies, and Azure Networking and Security. Strong experience with Azure Monitoring and third-party monitoring tools for cloud infrastructure. Proficient in Azure DevOps and YAML pipelines for CI/CD automation. Hands-on experience with Infrastructure as Code (IAC) tools like Terraform or Bicep to automate cloud resource provisioning. Soft Skills: Excellent communication and collaboration skills to work with cross-functional teams and clients. Ability to troubleshoot and resolve complex cloud infrastructure issues. Strong problem-solving and analytical skills, with a focus on security in cloud infrastructure. Innovative Environment: Work with cutting-edge cloud technologies in a forward-thinking, fast-paced environment. Growth Opportunities: Enjoy continuous learning and career development through training and certifications. Collaborative Culture: Join a team of talented professionals committed to innovation and quality. Competitive Compensation & Benefits: Receive a competitive salary and comprehensive benefits package. Apply Today! If you're an experienced Azure DevSecOps Engineer with a passion for cloud security, automation, and DevOps, we invite you to apply and be part of our growing team!

KYC EDD Analyst II At Coinbase, our mission is to increase economic freedom in the world. It s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform and with it, the future global financial system. To achieve our mission, we re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company s hardest problems. Ourwork cultureis intense and isn t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there s no better place to be. This role is for the KYC EDD Analyst II as part of the operations function in the Compliance team, reporting to the Team Manager Compliance operations. In this role, Compliance EDD Analyst - II will be responsible to manage the speciality case work streams. In this role, candidates will be expected to work on the high net worth individual cases and deal with executive escalations for such customers. Through the investigation into the KYC documents, candidates will be expected to safeguard the customer experience by satisfying the compliance regulatory requirements. Additionally, candidates will have certain metrics to achieve as a part of business operations. Onboarding retail customers with adherence to Coinbase s AML program, BSA/AML, KYC, and EDD policies, procedures and standards appropriate for each jurisdiction in which Coinbase operates. You will serve as the subject matter expert and escalation point within the KYC EDD team and the broader AML team and manage client onboarding and remediations. To be successful in this role, you will need to have a proven track record of subject matter expertise for an onboarding KYC program, have an enthusiastic and positive attitude, have a strong knowledge of KYC best practices, and a proven ability of taking innovative approaches to solving complex regulatory challenges. If you're ready to take on a challenge that will make a difference in the world, we want you on our team. Apply now and be a part of something truly transformative! What you ll be doing (ie. job duties): Lead and execute comprehensive EDD on High-risk customers, transactions, and high-net worth individuals, ensuring thorough risk assessment. Review, analyze, and validate KYC information to ensure it aligns with internal policies, regulatory requirements, and quality standards. Identify, assess, and escalate suspicious activities with precision, providing clear and actionable recommendations. Complete review in a timely and efficient manner, ensuring application of risk based approach helping mitigating any AML risk and at the same time ensuring a good customer experience Make recommendations on process improvements to increase efficiency and accuracy Provide mentorship and guidance to junior analysts, fostering a culture of excellence and continuous improvement. Collaborate with internal support teams across Data Analytics, Escalations teams, Financial Crime Compliance, and L&D to help launch or improve existing processes and workflow Utilize an in-depth understanding of metrics to drive data-driven recommendations Maintain awareness of regulatory updates and incorporate process and procedural changes in the due diligence review process Identify process gaps and work with stakeholders within CX and financial crime to improve the process. Provide regular insights, recommendations and feedback to Client Service Management Continuously add value through effective impact analysis, prioritization, root cause analysis and efficient execution of initiatives. Tackle routine problems, largely through precedent and referral to general guidelines What we look for in you (ie. job requirements): Years of experience: minimum 2 years of compliance experience (Enhanced Due Diligence [EDD]) Minimum Bachelor s degree or equivalent Knowledge of on-boarding checks, entity types and AML/KYC laws, guidelines (e.g. BSA, OFAC, FinCEN guidance), and rules for financial products & services Strong written/verbal communication, critical thinking, and problem-solving skills Experience working with Google Sheet, Google Doc, Excel, Word Flexible and adaptable to the evolving needs of a high-growth and fast paced organization environment Multi-tasking ability, team-oriented, and a self-starter Ability to work with limited direction from management when situations occur Intermediate to advanced level in PowerPoint/Google Slides and Excel/Google Sheets Ready to support in 24*7 environment Organized with a high level of attention to detail Work from the office 100%, no hybrid or work from home. Nice to haves: Knowledge of the cryptocurrency industry. Professional certifications (e.g. CRCM, CAMS, CIA, CISA, and CICA). Deep understanding of Google apps, JIRA, Salesforce Service Cloud.

Position: AI/ML Developer Company: Infor Location: Hyderabad, India Experience: 2-5 years Skills: AI/ML, Python, AWS, SQL Role Summary: As an AI/ML Developer at Infor, you will be at the forefront of creating and delivering state-of-the-art enterprise applications and automation solutions powered by Infor s AI, RPA, and OS platform technologies. Your primary mission will be to identify impactful AI/ML use cases, develop proof of concepts (PoCs), and deliver automation solutions that drive workforce productivity and enhance business outcomes for our clients. Key Responsibilities: Use Case Identification: Work closely with customers to understand their business challenges and identify opportunities for AI/ML solutions to address these needs. Data Insights: Perform exploratory data analysis on large, complex datasets to uncover key insights. Assess data quality and share findings that can inform decision-making. Data Preparation: Collect, clean, preprocess, and augment datasets for training and testing AI models, ensuring they are ready for AI tasks. Model Development: Design, train, and fine-tune AI/ML models, evaluating them against appropriate performance metrics and optimizing for maximum efficiency. Integration & Deployment: Partner with software engineers to integrate AI/ML models seamlessly into enterprise applications and systems. Address deployment challenges to ensure smooth production workflows. Continuous Improvement: Monitor the performance of deployed AI models, gather user feedback, and iterate to improve models, algorithms, and user experience. Proof of Concepts (PoCs): Develop PoCs to demonstrate the feasibility and effectiveness of AI/ML solutions, showcasing the potential of new technologies to clients. Collaboration: Work closely with development teams to explore and implement new use cases for AI and automation. Best Practices: Collaborate with your team to establish best practices and ensure high-quality development standards. Innovation: Contribute to the innovation of cloud-based enterprise automation solutions and the development of cutting-edge AI technologies. Key Requirements: Experience: Minimum 3 years of hands-on experience in implementing AI/ML models in enterprise environments. AI/ML Knowledge: Strong understanding of supervised and unsupervised learning, reinforcement learning, deep learning, and probabilistic models. Programming Skills: Proficiency in Python or R, with experience in SQL for querying databases. Data Handling: Expertise in working with large datasets, performing data preprocessing, and effectively managing data pipelines. Cloud Infrastructure: Experience with AWS Sagemaker or Azure ML is preferred for deploying machine learning solutions. Frameworks & Libraries: Familiarity with machine learning libraries like scikit-learn, Keras, TensorFlow, PyTorch, or NLTK is a plus. Analytical Skills: Strong critical thinking and problem-solving abilities, with the capacity to design and run experiments to validate hypotheses. Business Process Understanding: Knowledge of business processes and how they can be automated through AI and ML. Domain Expertise: Experience or interest in areas like Demand Forecasting, Anomaly Detection, Pricing, Recommendations, or Analytics. Global Experience: Proven experience in working with global customers on diverse projects, understanding their needs, and delivering tailored solutions. Communication Skills: Excellent verbal and written communication skills, with the ability to clearly explain complex AI concepts to clients and team members. Collaboration & Independence: Ability to work both independently and as part of a team, collaborating with cross-functional teams to drive success. Educational Background: A Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. Specialization: Coursework or expertise in AI, ML, Deep Learning, NLP/NLU, Computer Vision, or similar domains is highly desirable.

Job Title: Scrum Master Grade Level: 11 About the Role: The S&P Global Commodity Insights team is undergoing a transformation to adopt platform-centric software engineering practices, aligned with Agile development methodologies. The Scrum Master will play a critical role in driving this Agile adoption across the team. The Impact: This role supports major strategic initiatives aimed at strengthening market leadership, enhancing customer experience, and implementing next-generation software technologies. It offers an exciting and visible opportunity to contribute during a period of significant organizational and operational transformation. Responsibilities: Coach teams and the organization on Agile/Scrum practices and values to enhance customer satisfaction. Guide teams toward self-organization. Assess Scrum maturity across teams and the organization, and foster continuous improvement at a sustainable pace. Identify and remove impediments, or guide teams to the appropriate personnel to resolve issues. Create a trusting, safe environment where issues can be openly discussed without fear of blame, retribution, or judgment, focusing on problem-solving. Facilitate work progress without coercion or micromanagement. Foster effective discussions, decision-making, and conflict resolution. Enhance internal and external communication, improving transparency and information flow. Shield teams from external distractions and interruptions. Support and educate Product Owners, particularly in backlog grooming and maintenance. Lead by example, using servant leadership principles to support teams. Drive continuous improvement by facilitating retrospectives and encouraging teams to take ownership of their processes and outcomes. What We re Looking For: Basic Qualifications: First-level Scrum Master certification (PSM I). Minimum of 7 years of experience as a Scrum Master for software development teams practicing Scrum principles, methods, and frameworks. Experience working in a SAFe environment across three or more Program Increments (PIs), with a clear understanding of SAFe team structures. Proficiency in applying the SAFe framework. Enforce team rules, including Scrum guidelines, Built-In Quality practices (XP), Work in Progress (WIP) limits from Kanban, and other agreed processes. Collaborate with fellow Scrum Masters to enhance Scrum adoption across the organization. Strong facilitation, situational awareness, conflict resolution, continuous improvement, and transparency skills. Knowledge of documented patterns and techniques for addressing common Scrum challenges (e.g., Burndown techniques, retrospective formats, defect handling). Excellent oral and written communication skills. Proficiency with tools such as Azure DevOps, Confluence, MS Teams, and SharePoint. Demonstrate commitment to Scrum values commitment, focus, openness, respect, and courage. Preferred Qualifications: SAFe Scrum Master (SSM) certification. Familiarity with other Agile frameworks (Kanban, XP, Crystal, FDD). Experience with Agile techniques such as User Stories, ATDD, TDD, Continuous Integration, Continuous Testing, Pair Programming, Automated Testing, and Agile Games. Previous experience in a Team Lead role. About S&P Global Commodity Insights: S&P Global Commodity Insights provides a comprehensive view of global energy and commodity markets, enabling customers to make confident decisions and create long-term, sustainable value. As a trusted connector, we bring together thought leaders, market participants, governments, and regulators to co-create solutions that drive progress. Essential to navigating the Energy Transition, our coverage spans oil and gas, power, chemicals, metals, agriculture, and shipping. S&P Global Commodity Insights is a division of S&P Global (NYSE: SPGI), the world s leading provider of credit ratings, benchmarks, analytics, and workflow solutions across global capital, commodity, and automotive markets. Through our solutions, we help leading organizations navigate economic landscapes and prepare for the future.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

Tezo: Digital & AI Solutions Provider Tezo is a next-generation Digital & AI solutions provider with a proven track record of delivering remarkable outcomes for our customers. We create exceptional digital experiences using cutting-edge analytics, data expertise, and technology. Join us to be part of a team that leverages innovation and digital excellence to shape the future. Job Title: Entra Specialist Employment Type: Full-Time Job Summary: We are seeking an Entra Specialist with deep expertise in Microsoft Entra (formerly Azure AD) for Enterprise Applications, Application Registration, API Management, and Application Integration. The ideal candidate will possess a strong understanding of Single Sign-On (SSO), certificates, tokens, and identity management. Experience with Azure API Management, Azure Logic Apps, Webhooks, and automation will be an added advantage. Key Responsibilities Entra Enterprise Applications: Manage and configure enterprise applications within Microsoft Entra. Implement, troubleshoot, and optimize application access policies for secure and efficient operations. Application Registration & Integration: Handle Entra Application Registration and management across various workloads. Configure and manage OAuth 2.0, OpenID Connect, and SAML for application authentication. Set up and manage API permissions, app roles, and consent frameworks. Ensure seamless integration of applications with Microsoft Entra ID and third-party services. API Management & Security: Manage application API permissions, authentication, and authorization. Implement secure access mechanisms using tokens, certificates, and federated authentication. Collaborate with development teams to ensure secure API communication between applications. SSO, Certificates, & Tokens: Configure and manage Single Sign-On (SSO) across multiple applications. Implement and maintain certificate-based authentication for secure communication. Manage token lifecycles, refresh mechanisms, and security policies for application authentication. Identity & Access Management (IAM): Assist in managing Entra identities, groups, and role-based access control (RBAC). Ensure compliance with security best practices for identity and access management (IAM). Nice to Have: Experience with Azure API Management for centralized control and security of APIs. Working knowledge of Azure Logic Apps, Webhooks, and automation for workflow and process automation.

Job Responsibilities Lead discussions, design, and architect strategic initiatives from Customer Value Engineering, including performance optimizations and enterprise solution integrations. Maintain and organize a Systems/Integration repository across the Planful ecosystem to enhance reusability, rapid deployment, and scalability. Develop customized solutions within the Planful platform to support specific business requirements and Customer Value Engineering goals. Collaborate with Engineering architects on development initiatives for new features, focusing on scalable logging and methods to increase Planful customer adoption. Research and monitor application usage trends to deliver proactive insights for Customer teams and optimize application health. Enhance integration monitoring and alert capabilities across the Planful platform. Qualifications Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience. 1+ years of experience with SQL Server, SSAS, MDX, SSRS, and MongoDB. Proficiency in Python, Redis, JavaScript, jQuery, Node.js, HTML5, and CSS3. Experience in SOAP and RESTful web services. Experience with .NET and Java-related application development technologies. Technical expertise in developing reports, integrations, extensions, workflows, and other components. Experience with SQL Sentry, Sumo Logic, and other monitoring tools for workflow and monitoring setup is preferred. Excellent verbal and written communication skills at all organizational levels. Preferred Qualifications Minimum 1 year of experience with planning and analytics software, digital transformation, or cloud-based analytics solutions (Planful experience preferred). Working knowledge of income statements, balance sheets, cash flow statements, budgeting, forecasting, and financial consolidations. Hands-on experience leading or participating in data integration projects using enterprise-grade ETL tools (Boomi experience highly desirable). Knowledge of cloud platform scaling and performance optimization. Excellent written and verbal communication skills. Qualification : Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or equivalent experience

General Summary: Qualcomm is at the forefront of technological innovation, leveraging data-driven insights to power business decisions. We are seeking a Senior/Lead Data Engineer to design, develop, and implement advanced data solutions to support Qualcomm s business goals. This role will involve building scalable data pipelines, integrating large datasets, and collaborating with cross-functional teams to unlock the value of data. As a key technical leader, you will help shape Qualcomm s data infrastructure and work closely with data scientists, analysts, and business stakeholders to ensure the delivery of reliable and high-quality data solutions. Key Responsibilities: Design and implement scalable data pipelines and ETL processes for structured and unstructured data. Develop and optimize data lake, data warehouse, and real-time data processing solutions. Collaborate with data scientists, analysts, and product teams to understand data requirements and translate them into robust data solutions. Ensure data quality, reliability, and security across all data systems and pipelines. Build and maintain data models that support business intelligence and advanced analytics needs. Optimize data workflows for performance, scalability, and cost-efficiency. Provide technical leadership and mentorship to junior data engineers. Stay up to date with emerging technologies and recommend solutions to improve data architecture. Minimum Qualifications: Bachelor s or Master s degree in Computer Science, Information Systems, Engineering, or related field. 5+ years of experience in data engineering or related roles. Proficiency in Python, SQL, and Scala, with experience in building scalable ETL pipelines. Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka). Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Solid understanding of data modeling, data architecture, and real-time data processing. Experience with CI/CD, containerization (Docker, Kubernetes), and DevOps practices. Preferred Qualifications: Knowledge of machine learning pipelines and working with data science teams. Experience with streaming data frameworks (e.g., Apache Flink, Spark Streaming). Strong understanding of data governance, compliance, and security best practices. Excellent problem-solving, communication, and team collaboration skills. Why Join Qualcomm? At Qualcomm, you ll work on cutting-edge projects, collaborating with global teams to solve challenging problems. We offer: Continuous learning and growth opportunities. Flexible working arrangements and a supportive work culture. The chance to work with innovative technologies and industry leaders.