BIG Data Governance Jobs in Hyderabad

Position Title: Data Modeler Location: Hyderabad Department: Data & Analytics Experience Required: 4+ Years Employment Type: Full-Time Company: GSPANN Technologies Job Description: GSPANN is seeking a highly skilled and detail-oriented Data Modeler to join our Hyderabad team. In this role, you will be responsible for developing and optimizing conceptual, logical, and physical data models that support business intelligence and decision-making processes. You will work closely with business stakeholders and technical teams to turn complex data into meaningful insights. Roles and Responsibilities: Translate business requirements into well-structured data models. Design and implement conceptual, logical, and physical data models for enterprise applications. Collaborate with cross-functional teams including data engineers, analysts, and business users. Ensure data integrity and consistency across various data sources and systems. Use data modeling tools (e.g., ERwin, ER/Studio) to document metadata and relationships. Participate in data profiling, analysis, and cleansing initiatives. Provide technical leadership on data structure standards and best practices. Support data governance, cataloging, and quality assurance efforts. Work in Agile environments and contribute to sprint planning and execution. Required Skills and Experience: Bachelor s or Master s degree in Computer Science, Information Technology, or related field. 4+ years of experience in data modeling (relational, dimensional, or NoSQL). Hands-on experience with tools such as ERwin, ER/Studio, or equivalent. Strong SQL skills and ability to handle large datasets. Experience with RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL). Familiarity with cloud data platforms such as AWS, GCP, or Azure. Strong analytical skills and attention to detail. Excellent communication and stakeholder management skills. Nice to Have: Experience with Snowflake, BigQuery, or Redshift. Exposure to ETL tools and data pipeline development. Knowledge of metadata and data lineage tools. Experience in domains such as retail, healthcare, or finance. Be part of a forward-thinking company at the cutting edge of data and digital transformation. Work in a collaborative environment that encourages learning and growth. Gain exposure to global projects and next-gen technologies. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Job Title: Data Governance Developer Job Location: Hyderabad Job Description As a Data Governance Developer, you will be responsible for setting up, managing, and optimizing our data governance frameworks, primarily leveraging Microsoft Purview. Your role will involve integrating various data sources, ensuring robust metadata management, and implementing compliance policies to maintain data quality, security, and accessibility across the enterprise. Key Responsibilities: Set up and manage Microsoft Purview accounts, collections, and access controls (RBAC). Integrate Purview with diverse data sources, including Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. Schedule and monitor metadata scanning and classification jobs. Implement and maintain collection hierarchies aligned with data ownership. Design metadata ingestion workflows for technical, business, and operational metadata. Enrich data assets with business context: descriptions, glossary terms, tags. Synchronize metadata across tools using REST APIs, PowerShell, or ADF. Validate end-to-end lineage for datasets and reports (ADF Synapse Power BI). Resolve lineage gaps or failures using mapping corrections or scripts. Perform impact analysis to support downstream data consumers. Create custom classification rules for sensitive data (PII, PCI, PHI). Apply and manage Microsoft Purview sensitivity labels and policies. Integrate with Microsoft Information Protection (MIP) for DLP. Manage business glossary in collaboration with domain owners and stewards. Implement approval workflows and term governance. Conduct audits for glossary and metadata quality and consistency. Automate Purview operations using: PowerShell, Azure Functions, Logic Apps, REST APIs Build pipelines for dynamic source registration and scanning. Automate tagging, lineage, and glossary term mapping. Enable operational insights using Power BI, Synapse Link, Azure Monitor, and governance APIs. Tools & Technologies: Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog Experience in Microsoft Purview areas: - Label creation and policy management Publish/Auto-labeling Data Loss Prevention & Compliance handling Compliance Manager, Communication Compliance, Insider Risk Management Records Management, Unified Catalog, Information Barriers eDiscovery, Data Map, Lifecycle Management, Compliance Alerts, Audit DSPM, Data Policy Requirements 4 6 years of experience in data governance or data management. Strong experience in Microsoft Purview and Informatica governance tools. Proficient in tracking and visualizing data lineage across systems. Familiar with Azure Data Factory, Talend, dbt, and other integration tools. Understanding of data regulations: GDPR, CCPA, SOX, HIPAA. Ability to translate technical data governance concepts for business stakeholders. 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 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.

Job Title: Data Engineering Manager Location: Hyderabad About Kanerika Kanerika Inc. is a leading global software products and services company dedicated to empowering data-driven enterprises. We help businesses accelerate digital transformation and maximize impact by delivering innovative, custom data solutions that optimize operations, enhance customer experiences, and fuel growth. Our Accolades Best Place to Work 2022 Great Place to Work Top 10 Most Recommended RPA Startups 2022 RPA Today Technology Innovation Award 2021 Frost & Sullivan India for Kompass composable solution Recognized for strong data privacy and security standards: ISO 27701, SOC2, GDPR compliant With a 4.5/5 Glassdoor rating, Kanerika fosters an inclusive, growth-oriented culture where employees thrive. We offer: Flexible working hours and generous parental leave Mandatory training on a safe and inclusive work environment Mentorship, professional development, and certification support Company-sponsored outings and work-life balance initiatives Join a vibrant, diverse community where your contributions truly matter. The Role We are looking for an experienced Data Engineering Manager to lead and inspire our data engineering team in Hyderabad. Partnering closely with Data Architects, you ll drive the design and development of scalable, cloud-based data pipelines and models, ensuring data quality, security, and performance. What You ll Do Lead and mentor a high-performing data engineering team, driving productivity and accountability. Collaborate with architects and development leads to build scalable, enterprise-grade data solutions. Oversee agile workflows, manage escalations, and coordinate hiring and resource planning. Use data-driven insights to guide team priorities and continuous improvement. Support pre-sales activities and work cross-functionally with sales and recruitment teams. Foster a culture of innovation, quality-first mindset, and customer focus. Who You Are A proactive leader with experience managing mid to large-sized teams and complex projects. An effective communicator, both verbally and in writing, with a knack for visually presenting ideas and core values. Results-oriented with a proven track record of delivering successful projects and publishing customer case studies. A process-driven, independent thinker who thrives under pressure and embraces continuous learning. Passionate about inclusivity and committed to contributing authentically to a diverse team environment.

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.

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!

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.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field

Position: Program Director Location: Hyderabad, India Employment Type: Full-Time, Salaried Compensation: Base Salary, Bonus, Benefits About Innovapptive: Innovapptive is revolutionizing industrial operations by connecting front-line workers, back-office teams, and assets via a patented, code-free platform integrated with SAP and IBM Maximo. Our mobile solutions digitize complex, paper-based maintenance, operations, and supply chain processes, empowering leading global brands like Shell, UNICEF, and Reckitt Benckiser to improve asset uptime, productivity, and safety. Backed by Tiger Global and Vista Equity Partners, we aim to empower 350 million industrial workers worldwide with innovative connected worker experiences. Role Overview: We are seeking a Program Director to lead our Center of Excellence (COE) based in Hyderabad. Reporting to the VP of Professional Services, you will oversee the on-time delivery of a portfolio of projects managed by multiple Project Managers, establish and evolve PMO processes, manage project financials, and mentor project teams. You will also manage key customer relationships, support pre-sales activities, and serve as the escalation point for project risks and issues, ensuring exceptional customer satisfaction throughout implementation. Key Responsibilities: Program Leadership Provide thought leadership and strategic guidance to customer executives and implementation teams. Lead multiple projects across customers, ensuring governance, methodology, and best practices are followed. Establish and evolve COE processes, implementation methodologies, and governance models. Communicate portfolio status and risks to senior leadership. Support scoping, estimation, and proposal/SOW creation in collaboration with sales teams. Program Management Manage resource allocation and staffing based on customer needs. Build and maintain strong customer relationships and stakeholder engagement. Ensure SLA/KPI compliance and customer satisfaction across projects. Manage portfolio financials, including P&L oversight and budget adherence. Support recruitment and hiring of Project Managers. Project Management Oversight Enforce adherence to delivery methodologies and best practices across projects. Oversee project delivery quality, timelines, and budget compliance. Guide Project Managers in risk, issue resolution, and RAID management. Resolve escalated issues, manage team dynamics, and mentor delivery teams. What You Bring: Required Qualifications: 5+ years in program director or senior management roles. Deep knowledge of project/program management frameworks (Waterfall, Agile). Strong expertise in performance metrics, data analysis, budgeting, and reporting. Proficiency with MS Office and program management tools (Smartsheet, MS Project, Basecamp, etc.). Excellent organizational, leadership, and communication skills. Strategic business acumen and executive presence. Proven experience managing large SAP or SaaS implementation programs (EAM, PM, MM, WM, EWM). Skilled at prioritization, planning, and delivering complex projects. Preferred Qualifications: Bachelor s or Master s degree in management or relevant field. Experience with Big 5 consulting firms as associate partner/partner. Familiarity with JIRA project management, reporting, and dashboards. Industry knowledge in Mining, Utilities, Chemicals, Oil & Gas. What We Offer: Positive, innovative, and entrepreneurial work culture. Opportunities to lead impactful projects with global brands. Competitive salary and comprehensive benefits including family medical insurance and parental leave. Generous vacation and paid time off. Bi-annual performance reviews aligned with OKRs. Continuous learning through extensive e-learning resources. Participation in diverse interest groups and team activities. Innovapptive does not accept unsolicited resumes from search firms. Innovapptive is an equal opportunity employer committed to diversity and inclusion, providing equal consideration regardless of protected status under applicable laws. Qualification : Bachelors or Masters degree in management or relevant field.

Senior Data Scientist Data | Hyderabad, India | Full-Time About Salesforce We re Salesforce, the Customer Company, empowering businesses worldwide with AI, Data, and CRM. We believe business is a platform for change helping companies innovate, grow, and connect with customers in new ways. Join us to be a Trailblazer driving your career and impacting the future of business. Role Overview We re seeking an experienced Senior Data Scientist to lead development of advanced marketing attribution, causal inference, and uplift models that enhance marketing effectiveness and efficiency. You will design experiments, establish consistent measurement frameworks, and deliver impactful data-driven insights supporting marketing, customer engagement, and digital initiatives. You will own the full model lifecycle from ideation and prototyping to deployment and ongoing production monitoring ensuring rigor, scalability, and ethical application aligned with Salesforce s core value of Trust. Key Responsibilities Develop sophisticated statistical and machine learning models to optimize marketing investments (e.g., attribution, uplift, causal inference). Create algorithms for marketing spend optimization and ROI improvement across multiple channels. Lead full lifecycle model development: data exploration, design, testing, deployment, monitoring, and tuning. Design statistically sound experiments (A/B, multi-cell) to measure marketing and campaign impact. Collaborate cross-functionally with marketing, engineering, and analytics teams to operationalize measurement and experimentation frameworks. Stay updated on innovations in SaaS, AdTech, paid media, and analytics to continuously evolve modeling approaches. Advocate responsible and ethical use of data and models in line with company policies. Required Skills & Experience Master s or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields. 8+ years of hands-on experience designing marketing optimization models (multi-channel attribution, uplift, customer lifetime value, propensity). Extensive experience in experiment design and causal inference for business impact evaluation. Strong programming skills in Python, R, PySpark, Java. Expert-level SQL skills for large-scale data exploration and manipulation. Experience with cloud platforms like GCP or AWS for scalable model development and deployment preferred. Exceptional quantitative reasoning and ability to translate analysis into actionable business insights. Excellent communication skills, capable of collaborating across diverse teams. Creative problem-solving mindset with ability to simplify complex challenges. Experience with B2B customer data and Salesforce products is a plus. Work on high-impact projects using state-of-the-art AI and analytics technologies. Collaborate with top-tier data science and marketing experts. Thrive in an innovative, inclusive culture that values Trust and continuous learning. Drive real-world business transformation at a global scale. If you are passionate about marketing science and advanced analytics, and want to lead innovation in a fast-paced environment, we encourage you to apply! Qualification : Masters or Ph.D. in Statistics, Economics, Industrial Engineering, Operations Research, Applied Math, or related quantitative fields.

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.

Database Management Specialist Location: Hyderabad Job Overview: The Database Management Specialist will design or modify database designs to solve processing issues, ensuring that the databases meet operational standards and performance levels. The role involves database administration, analysis, tuning, and support, contributing to the overall efficiency and reliability of the production environment. Key Responsibilities: Database Design & Modifications: Design or modify database systems to address database processing problems, taking into account computer equipment capacity, limitations, operating time, and desired outcomes. Database Analysis & Design: Perform database analysis and design tasks, ensuring the production environment operates smoothly. Participate in database consultations and design reviews to enhance system performance and reliability. Performance Monitoring & Optimization: Ensure that databases meet required performance metrics, including reliability, response time, and query execution time. Administer, monitor, tune, and support databases in the production environment to optimize performance. Backup & Recovery Strategies: Develop and implement effective backup and recovery strategies to safeguard data and ensure minimal disruption in case of system failures. Data Integrity & Security: Ensure the enforcement of referential integrity and database security. Handle tasks like denormalization, data archival schemes, and the creation of data definition languages and database objects. Qualifications: Education: Bachelor s Degree in Computer Science, a related field, or equivalent experience. Experience: Two (2) years of information technology experience. At least one (1) year of experience in database administration. Skills & Competencies: Ability to proactively identify complex database-related problems and develop effective solutions. Strong understanding of database performance tuning and optimization techniques. Knowledge of backup, recovery, and security strategies for databases. Experience in denormalization, data archival, and referential integrity enforcement. This role is ideal for a professional with hands-on experience in database administration who is looking to contribute to a high-performing team in a dynamic environment. If you have the required skills and are eager to make a significant impact, we invite you to apply for this exciting opportunity. Qualification : Bachelors Degree in Computer Science, a related field, or equivalent experience.

Job Title: Azure Data Engineer Location: Hyderabad / Bangalore (Hybrid) Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an Azure Data Engineer with 5-8 years of experience to join our team. As an Azure Data Engineer, you will design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a strong background in writing complex SQL stored procedures, implementing OLTP database solutions using Microsoft SQL Server, and working with Azure Synapse, PySpark, and Azure Databricks for big data processing. Key Responsibilities: Data Integration and Collaboration: Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects. Complex SQL Expertise: Write and optimize complex T-SQL, Dynamic SQL, and Spark SQL queries, including the creation of stored procedures for data transformation and business validation logic. Big Data Processing: Utilize Azure Synapse/Databricks to write notebooks using Spark SQL or PySpark for processing and analyzing large volumes of data. Data Pipeline Development: Develop and maintain robust data pipelines using Azure Data Factory to ensure seamless data flow across systems. OLTP Systems: Contribute to the enhancement and optimization of OLTP systems using SQL Server. Data Quality and Integrity: Ensure data quality, integrity, and accuracy in all systems. Programming and Algorithm Development: Utilize strong algorithmic programming skills to handle data processing and transformation. Qualifications: Educational Background: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5-8 years of experience in database development, data integration, and writing complex T-SQL queries. Technical Skills: Expertise in T-SQL and Spark SQL/PySpark (experience with Azure Synapse and Databricks is essential). Hands-on experience with Azure Data Factory for building data pipelines. Strong experience with OLTP systems using SQL Server. Problem-Solving Skills: Excellent problem-solving abilities with a strong focus on attention to detail. Adaptability: Ability to work in a collaborative and fast-paced environment, focusing on delivering high-quality solutions. Other Details: Notice Period: 0-15 days MAX Work Location: Hyderabad / Bangalore (Hybrid) If you're an experienced Azure Data Engineer with a passion for big data and cloud technologies, apply now to join our team and make an impact with innovative data solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: Senior Data Engineer Company Name: Zessta Job Type: Full-time Responsibilities: Analyze customer data to enhance customer experience and provide actionable insights. Build and maintain integrations to support advanced data science workflows, ensuring seamless interaction with the Product API. Actively participate in onboarding and training clients on how to use the product effectively. Provide insights into client-to-business interactions, ensuring that the data can be leveraged for strategic decisions. Act as a liaison between the client and the organization, ensuring both parties' needs and expectations are met. Identify opportunities for clients to expand their usage of the product, driving engagement and long-term value. Address customer complaints and requests, offering product support to improve overall satisfaction and experience. Skills and Experience: Excellent communication and interpersonal skills to work effectively with clients and internal teams. Strong understanding of data modeling and architecture. Hands-on experience with data integrations and data pipelining tools to connect systems and enable smooth data flow. Proficiency in programming languages, preferably Python or R, to process and analyze data. Experience with container orchestration platforms like Docker and Kubernetes. Familiarity with distributed computing frameworks such as Spark, Hadoop, and Dask to handle large-scale data processing. Experience with version control software such as Git to manage code and collaborate with teams. Knowledge of project management tools such as JIRA to track and manage project progress and tasks. Familiarity with tools like Figma and Mixpanel is a plus. Education and Experience: Bachelor s or Master s degree from premier institutes (preferred). 4-12 years of relevant experience in data engineering, data science, or related fields. What We Offer: Competitive salary and benefits package. Opportunities for career growth and skill development. The chance to work on cutting-edge technologies and impactful projects. If you have a passion for data engineering and improving customer experience, and you're ready to take on new challenges, we'd love to hear from you. Apply now to join our team at Zessta and contribute to driving innovation and business success! Qualification : Bachelors or Masters degree from premier institutes (preferred).

Introduction In this role, you'll be part of one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients globally. Our centers provide locally-based skills and technical expertise to drive innovation and the adoption of new technologies. A career at IBM Consulting involves building long-term relationships and collaborating closely with clients across industries. You'll work alongside visionaries to help them on their hybrid cloud and AI journeys, enhancing the value and impact of some of the most innovative companies in the world. With access to IBM s strategic partner ecosystem and cutting-edge technology platforms, including IBM Software and Red Hat, you will be empowered to accelerate client transformations and create meaningful change. Curiosity and a constant quest for knowledge serve as the foundation for success at IBM. In your role, you'll be encouraged to challenge the status quo, explore ideas beyond your current role, and come up with creative solutions that will make a significant impact across a wide network of clients. Our culture of evolution and empathy is centered on long-term career growth and development opportunities in an environment that celebrates your unique skills and experience. Your Role and Responsibilities As a Data Engineer at IBM, you will be a critical player in designing and developing applications, while also providing guidance to project teams on complex coding, troubleshooting, and execution. Your key responsibilities include: Solution Design and Construction: Lead the design and construction of new data solutions using the latest technologies, ensuring business value and meeting user requirements. Continuous Improvement: Advocate for continuous improvement by testing solutions and working within an Agile framework to enhance and iterate the developed solutions. Innovation: Stay current with the latest technology trends, discovering and implementing creative solutions to solve business problems. Collaboration: Work with diverse teams to deliver impactful data solutions while ensuring scalability, quality, and performance. Required Education Bachelor s Degree in a relevant field Required Technical and Professional Expertise Apache Spark (PySpark): In-depth knowledge of Spark s architecture, core APIs, and using PySpark for distributed data processing. Big Data Technologies: Familiarity with Hadoop, HDFS, Kafka, and other big data tools. Data Engineering Skills: Strong understanding of ETL pipelines, data modeling, and data warehousing concepts. Proficiency in Python: Expertise in Python programming, particularly focused on data processing and manipulation. Data Processing Frameworks: Experience with Pandas, NumPy, and other data processing libraries. SQL Proficiency: Experience writing optimized SQL queries for large-scale data analysis and transformation. Cloud Platforms: Experience working with cloud platforms such as AWS, Azure, or GCP, including working with cloud storage systems. Preferred Technical and Professional Experience Architecture Strategy: Experience in defining, driving, and implementing architecture strategies and standards for end-to-end monitoring of data solutions. Cross-Team Collaboration: Partnering with technology teams, including application development, enterprise architecture, testing services, and network engineering. Security: Familiarity with detection and prevention tools for company products and customer-facing platforms. How You ll Grow At IBM, we offer opportunities for career development and provide an environment where you are encouraged to continuously grow, learn, and expand your expertise. Working with cutting-edge technologies and a diverse set of clients, you will be able to stay ahead of industry trends and make meaningful contributions that have a real impact. About IBM Consulting IBM Consulting helps organizations tackle their most pressing challenges through innovative and agile solutions. By partnering with clients, we drive technology transformations, helping them optimize their operations and leverage new technologies like AI, cloud, and data. Our team s expertise spans across many industries, delivering solutions that enable clients to navigate digital transformations. This role offers an exciting opportunity to work with leading technologies while contributing to client success in a highly dynamic environment. If you re passionate about solving complex data problems and delivering impactful solutions, IBM Consulting is the place to grow your career. Qualification : Bachelors Degree in a relevant field

Data Consultant - Data Governance (Ataccama) - Hyderabad Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. As a Package Consultant at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering highly complex application components and integrating software packages using various tools. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively integrate packaged technology into our clients' business environment and achieve business results. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your Role and Responsibilities Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. Responsible for design and implement data matching and deduplication strategies using Ataccama Data Matching. Responsible for developing and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A, with Minimum 3-5 plus years of experience. Experience in the optimization of Ataccama data management solutions. Develop and maintain data quality rules, data profiling, and data cleansing processes within Ataccama Data Quality Center. Design and implement data matching and deduplication strategies using Ataccama Data Matching. Preferred Technical and Professional Experience Utilize Ataccama Data Catalog for metadata management, data lineage tracking, and data discovery. Provide expertise in integrating Ataccama with other data management tools and platforms within the organization's ecosystem. Collaborate with stakeholders to gather requirements and design data quality, data governance, and master data management solutions using Ataccama. ABOUT BUSINESS UNIT IBM Consulting is IBM s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you ll be able to learn and develop yourself and your career, you ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. ABOUT IBM IBM s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we re also one of the biggest technology and consulting employers, with many of the Fortune 50 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. OTHER RELEVANT JOB DETAILS Job Title: Data Consultant-Data Governance Job ID: 16790 City / Township / Village: Hyderabad State / Province: Telangana Country: India Work arrangement: Hybrid Area of work: Consulting Employment type: Regular Position type: Entry Level Travel required: Up to 20% or 1 day a week Company: (0063) IBM India Private Limited Shift: General (daytime) Is this role a commissionable/sales incentive based position? No Qualification : BE / B Tech in any stream, M.Sc. (Computer Science/IT) / M.C.A

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.