Data Collection Jobs in Hyderabad

310 Jobs Found

GS

Data Modeler

Gspann

4+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Data Modeler Data modeler Full-Time Data Modeling
BY

Head Of Operations

Bytexl

7+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Head Operations Operations Head Full-Time Head of Operations
KS

Data Governance Developer

Kanerika Software

4+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Data Governance Data Governance Developer Data Developer
KS

Data Governance Lead

Kanerika Software

7+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Data Governance Data Governance Lead Data lead
KS

Data Governance Architect

Kanerika Software

15+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Data Governance Data Governance Architect Data architect
KS

Data Engineering Manager

Kanerika Software

Fresher | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Data Engineering Data Engineering Manager Data Manager
OP

Associate - Finance

Opsmaven

3+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Associate Finance Location: Hitec City, Hyderabad, Telangana Experience: 3 to 6 Years Employment Type: Full-time About the Role We are seeking a detail-oriented and proactive Associate Finance and Accounts to join our finance team. The ideal candidate will play a key role in managing day-to-day accounting operations, ensuring accuracy, compliance with Indian accounting standards, and timely financial reporting. This role requires hands-on experience in bookkeeping, reconciliation, vendor payments, and MIS reporting. Key Responsibilities Accounts Management: Record and maintain accurate financial transactions in the accounting system. Perform regular reconciliations of bank and credit card accounts. Manage accounts payable and receivable, ensuring timely payments and collections. Communicate effectively with vendors and clients on financial matters. Assist in payroll processing and related tasks. Ensure compliance with accounting principles and company policies. Prepare monthly reconciliation and MIS reports. Finance Operations: Process weekly vendor and payroll payments. Manage timely repayment of EMI loans and credit card bills. Prepare and maintain Monthly Bank Reconciliation Statements (BRS). Oversee all net banking operations. Track credit card payments and related bill collections. Manage petty cash effectively. Experience & Skills Minimum Requirements: Strong knowledge of Banking & Finance, Indian Accounting Standards, and Indian Tax Laws. Excellent communication skills (both written and verbal) and strong relationship-building abilities. Proficient in Zoho accounting software and Microsoft Office tools. Commerce Graduate. 3 to 6 years of relevant finance/accounts experience. Preferred: Immediate availability for joining. Prior experience in the IT or Service sector is a plus. Qualifications Bachelor s degree in Commerce or equivalent. Proven track record in handling day-to-day finance and accounting functions. Qualification : Bachelors degree in Commerce or equivalent.

Associate Finance Finance associate Full Time Full-Time
DU

Associate Customer Service Representative

Dupont

5+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Job Title: Associate Customer Service Representative Location: Hyderabad Function: Customer Service Reporting To: Customer Service Leader Company: DuPont About DuPont: At DuPont, we empower the world through essential innovations. Whether it's delivering clean water to over a billion people, enabling sustainable tech for smart devices and electric vehicles, or ensuring the safety of workers globally we work on things that truly matter. Join us to make a real impact. Position Overview: As an Associate Customer Service Representative, you will manage the end-to-end (E2E) Order-to-Cash (OTC) process for your assigned business line. You ll act as the key liaison between customers, internal stakeholders, and external partners, ensuring smooth and timely order execution while upholding service excellence. Key Responsibilities: Order & Process Management Handle diverse order types: stock & resale, BOND sales, and high sea sales, adhering to standardized customer service processes. Execute all order lifecycle stages in SAP, from order entry through invoice generation. Cross-Functional Collaboration Work closely with teams across Supply Chain, Finance, Credit, Logistics, Tax, and 3PL providers. Support sales teams by reconciling forecasts vs. actual sales and ensuring order fulfillment is aligned with sales targets. Delivery & Issue Management Monitor open orders and coordinate with Supply Chain to ensure timely deliveries. Address customer complaints and return requests, ensuring compliance with complaint management policies and delivering quick resolution. Customer Engagement Serve as the primary point of contact for B2B customers, OEMs, and channel partners. Manage customer onboarding and maintain master data, ensuring timely updates based on requests. Operational & Compliance Oversight Drive effective execution of rebate, discount, and credit note programs. Ensure all commercial activities align with SOX compliance, accounting, and GST/tax guidelines. File and manage documentation in line with internal control and audit protocols (SOX/CRIM). Digital Enablement Support the organization s E-commerce transformation journey, ensuring functional KPIs are met. Qualifications & Experience: Education Graduate in any discipline (required) PG Diploma / MBA in Operations or Supply Chain Management (preferred) Experience 5+ years of experience in Order Fulfillment or Supply Chain. Proficient in SAP (Order Management module). Working knowledge of GST, commercial practices, and basic accounting. Familiarity with Service Cloud/Salesforce (preferred). Core Competencies Strong communication and interpersonal skills. Effective problem-solving and complaint handling capabilities. Proficiency in MS Office (Excel, Outlook, PowerPoint). Strong attention to detail and documentation accuracy. Team player with ability to collaborate across global functions. Be part of a purpose-driven, global organization making a real-world impact. Collaborate with world-class professionals in a diverse and inclusive environment. Drive innovation and operational excellence through meaningful work. Qualification : PG Diploma / MBA in Operations or Supply Chain Management

Associate Customer Customer associate Service Service associate
SA

Senior Data Scientist

Salesforce

8+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Senior Data Scientist Senior Scientist Data scientist
BI

Senior Data Engineer

Blend360 India

5+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Senior Data Engineer Senior engineer Data Engineer
BI

Lead Data Scientist - Media Mix Modelling (mmm)

Blend360 India

6+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Lead Data Scientist Data scientist Lead Data Scientist
ST

Azure Data Engineer (mid)

Syren Technologies

5+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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.

Azure Data Azure data Engineer Azure Engineer
ST

Data Architect

Syren Technologies

10+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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 Architect Data architect Full-Time Data Architecture
ST

Data Engineering Support Engineer - Sima

Syren Technologies

5+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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!

Data Engineering Data Engineering Support Data support
WT

Senior Data Engineer

Wallero Technologies

6+ Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

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 Engineer Data Engineer Full-Time Data Engineering
IE

Senior Data Analyst

Iq Eq Regcom Limited

8-10 Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Job Description Responsibilities We have a fantastic opportunity for an experienced Data Analyst join our global Data Transformation team. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients. In this role, you will drive requirements gathering and deliver appropriate solutions aligned with project goals. You will document functional designs, implement proper controls around business requests, and collaborate globally on Data Platform Data Services design initiatives. The role involves identifying and documenting system gaps and enhancements, working cross-functionally with IT teams to deliver high-quality solutions, and continuously seeking process improvements. Success requires quick adaptation to understand both client and internal stakeholder needs, ensuring efficient delivery of business requirements. Experience (what does the role do on a day-to-day basis) Experience of coding in programming languages such SQL (required), Python (required), Java and Excel VBA. Data analysis experience, database administration knowledge, data mining and manipulation. Proficient in MS Excel with a working knowledge of Excel VBA. Comfortable using APIs, SQL query writing, report development / BI tools (Crystal, SSRS, SSIS, Tableau). Experience of writing technical documentation and presenting information clearly to senior stakeholders. Knowledge of the funds industry and accounting knowledge beneficial. Working in global environment. Key behaviours we expect to see In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following: Communicates Effectively Adjusting communication style to fit the audience & message. Providing timely information to help others across the organisation. Encourages the open expression of diverse ideas and opinions Action Orientated Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them Interpersonal Savvy Relating comfortably with people across all levels, functions, cultures & geographies. Builds rapport in an open, friendly & accepting way An analytical mind, excellent problem-solving & diagnostic skills, attention to detail Qualifications Required Experience Education / professional qualifications Bachelor's degree in computer science or another technical field 8-10 years of experience in a Data Analyst capacity Background in Financial Industry preferable in the Alternative Asset management domain Experience with Investment management accounting system such as Investran, Paxus, Efront etc preferrable Background & Technical experience Knowledge of BI, Data and Analytics Knowledge of programming languages, SQL, Python, Knowledge of Excel Formulas Excellent analytical and numerical skills. Strong problem solving and conceptual thinking. Other company, product, and market knowledge Experience of working in a complex, multi-country professional services, financial services or BPO organisation with complex processing requirements Multi-country experience and demonstrates an ability to work in a multi-cultural, talented, and demanding team environment. Possess the skills and the personality to operate effectively in a very fast-paced complex global business with an in-depth knowledge of program management Excellent communication skills in both written and oral form, with staff members, customers, suppliers, and the management team with the ability to make decisions, act and get results Passion, dynamism, and drive Personal presence, integrity, and credibility Ability to solve problems either independently or by utilising other members of the team where necessary Strong analytical and troubleshooting skills. Ability to investigate and analyse information, and to draw conclusions. Ability to meet and adhere to internal and external deliverables whilst maintaining an exceptionally high standard. Languages Must be fully proficient in spoken and written English, additional European languages will be an asset Qualification : Bachelor's degree in computer science or another technical field

Senior Data Analyst Senior analyst Data analyst
ET

Java Developer

Evergent Technologies Private Limited

3-5 Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Company: Evergent About Evergent: Evergent is a global technology leader, managing over 560 million user accounts across 180+ countries for top clients. We partner with leading carriers such as AT&T, Etisalat, SingTel, Telkomsel, and AirTel, as well as major media companies like HBO, FOX, Sony, and BBC. With a talented team of over 300 professionals, Evergent is renowned for its Customer Lifecycle Management solutions, enabling rapid digital transformation and new revenue streams without disrupting legacy systems. Recognized by Silicon Valley VCs as a "diamond in the rough," we invite you to join our growing team. Position: Core Java Developer Job Summary: We are seeking an experienced Core Java developer to design and build high-quality, mission-critical applications. This role requires creating well-defined requirements and design specifications using UML and MS-Visio and applying proven design patterns where applicable. The developer will also be responsible for tracking project timelines and deliverables using tools like JIRA to ensure visibility for the team, customers, and management. Key Responsibilities: Application Development: Design and develop high-volume, low-latency applications that ensure high availability and performance in mission-critical systems. Lifecycle Contribution: Contribute throughout all stages of the development lifecycle, from design to implementation and deployment. Efficient Coding: Write well-structured, testable, and efficient code to meet project specifications. Design Compliance: Ensure that all designs comply with the agreed-upon specifications and quality standards. Release Management: Prepare and manage software component releases, ensuring they meet quality standards and are delivered on time. Continuous Improvement: Explore and propose alternatives and emerging technologies for improving the overall architecture, encouraging innovation and efficiency. Collaboration: Work with cross-functional teams and stakeholders to ensure seamless project delivery. Additional Responsibilities: Module Development: Build and enhance software modules to meet functional and performance requirements. Code Quality Assurance: Ensure that code follows industry-standard specifications and best practices. Debugging: Troubleshoot and debug code, including code written by others, to resolve issues effectively. Documentation: Properly document code to ensure clarity and maintainability. Testing & Reporting: Perform unit testing and generate detailed test reports to ensure functionality and stability. Coordination: Work closely with the QA team during the System Integration Testing (SIT) phase to ensure successful deployment. Scalability & Performance: Ensure that the codebase remains scalable and optimized for high performance. Qualifications: Education: B.Tech, M.Tech, MCA, M.Sc. in Computer Science or related field. Preferred Skills: Strong proficiency in Core Java, including collections, threading, and networking. Experience with REST/SOAP Web Services for building scalable APIs. Knowledge of data structures and algorithms. Familiarity with RDBMS and experience with databases. Proficient in Eclipse IDE for development. Experience with Agile methodology and familiarity with MVC frameworks. Knowledge of ORM tools like Hibernate and Web Objects. Qualification : B. Tech, M. Tech, MCA, M.Sc. Computer.

Java Developer Java developer Full-Time Java Programming
SG

Associate, Product Support

S&p Global

1-3 Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Job Title: Product Support Associate Grade Level: 07 About the Team: S&P Global s Private Markets segment equips private equity and venture capital firms with cutting-edge tools to efficiently manage their data and enhance internal analytics and insights. Whether it s portfolio analytics, valuations, investor reporting, or real-time visibility into asset performance, our team operates at the forefront of innovation in the FinTech space. Role Overview: In this role, you will play a key part in supporting the iLEVEL platform, gaining hands-on experience with advanced financial technology solutions. You will develop expertise in private market products and become a valued member of the iLEVEL Support Team, working closely with mentors, peers, and cross-functional teams to enhance your professional growth and make a meaningful impact. What s in it for you: As a member of the Private Markets team, you will gain in-depth knowledge of our product suite, including iLevel and Qval, enabling you to provide exceptional client support and training. This role offers the opportunity to collaborate with colleagues across global teams and contribute to delivering best-in-class solutions to our clients. Key Responsibilities: Develop in-depth expertise in iLEVEL and QVal products. Deliver exceptional client service by providing timely and effective solutions to client queries related to application support. Troubleshoot and resolve technical issues efficiently, escalating to internal teams when necessary and ensuring thorough documentation of issues and resolutions. Manage and monitor incoming client queries across multiple support channels, prioritizing and addressing requests effectively. Maintain comprehensive records of client communications within the internal CRM system. Collaborate regularly with senior managers and work closely with teams across various business functions and regions. Proactively direct clients to Account Managers or appropriate training resources to maximize product adoption and usage. Qualifications & Skills: Strong aptitude for learning new technologies and financial products. Quick learner who can apply new knowledge seamlessly while managing existing responsibilities. 1 to 3 years of experience in a client-facing role is advantageous. Bachelor s degree along with a Master s degree preferred (BE/BTech/BCom/BBA/BBM plus MBA). Excellent written and verbal communication skills. Strong analytical skills with the ability to handle complex issues comfortably. Knowledge of REST APIs is a plus. Proficiency in Excel and a solid understanding of financial markets and securities. About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we understand the value of accurate, deep, and actionable information. Our team of experts delivers unmatched insights and leading-edge data and technology solutions, empowering clients to gain broader perspectives, operate with confidence, and make decisions with conviction. Qualification : Bachelors degree along with a Masters degree preferred (BE/BTech/BCom/BBA/BBM plus MBA).

Associate Associate product Product associate Support Support associate
IB

Java Developer

International Business Machines Corporation

3-5 Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Job Title: Java Developer IBM Consulting 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 clients locally based skills and technical expertise to drive innovation and adoption of new technology. A career in IBM Consulting embraces long-term relationships and close collaboration with clients across the globe. You ll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio, including IBM Software and Red Hat. Curiosity and a constant quest for knowledge serve as the foundation for success in IBM Consulting. In your role, you ll be encouraged to challenge the norm, investigate ideas outside of your role, and come up with creative solutions resulting in groundbreaking impact for a wide network of clients. Our culture of evolution and empathy centers on long-term career growth and development opportunities in an environment that embraces your unique skills and experience. Your Role and Responsibilities Design and develop Java components using the Spring framework to implement transaction management. Manage Java objects and enterprise integration needs involving messages, routers, transformations, adapters, service activators, management, and auditing. Develop and support application solutions to meet customer requirements. Create technical specifications and unit test cases. Perform application unit testing, translate business and IT (Information Technology) requirements, and interpret data models. Participate in the development of the system test plan and provide technical leadership in system integration testing. Contribute to user acceptance testing and ensure successful implementation. Apply expertise in Dependency Injection/Inversion of Control, Aspect-Oriented Programming, Data Access Framework, Transaction Management Framework, Batch Processing, and ORM framework Hibernate. Required Technical and Professional Expertise BE / B.Tech in any stream, M.Sc. (Computer Science/IT) or M.C.A. 3-5 years of experience in software development. Working knowledge of Java 8 or higher. Proven experience with Spring and Hibernate (Spring 4 or above). Strong understanding of Object-Oriented Programming (OOP) concepts. Proficiency in Exception Handling, Collections, Abstract Classes and Interfaces, Constructors, File I/O, Serialization, Collections (List, Map, Set), Access Specifiers, and Multithreading and Synchronization. Familiarity with Java Keywords (Static, Final, Volatile, Synchronized, Transient), JVM (Java Virtual Machine) and Memory Management. Experience working with JSP (Java Server Page) / Servlets. Preferred Technical and Professional Expertise Experience with build tools such as Ant, Maven, and Git. Knowledge of design patterns and their optimized usage. Proven work experience with Spring Core, Spring ORM, Spring DAO, Spring AOP, and Hibernate. Work on cutting-edge technologies in a global and innovative environment. Collaborate with industry-leading professionals and visionaries. Enjoy excellent career growth opportunities and continuous learning. Contribute to transformative projects that shape the future of technology. Qualification : BE / B.Tech in any stream,M.Sc. (Computer Science/IT) or M.C.A

Java Developer Java developer Full-Time Java Programming
AI

Sr. Associate Regulatory Affairs

Amgen Inc

1-2 Years | Not Disclosed | Hyderabad, Telangana, India | Full-time

Job Description: Amgen is a leading human therapeutics company in the biotechnology industry. For more than 40 years, the company has tapped the power of scientific discovery and innovation to advance the practice of medicine. As a Fortune 500 company serving millions of patients, Amgen continues to be an entrepreneurial, science-driven enterprise dedicated to helping people fight serious illness. Regulatory Affairs, Chemistry, Manufacturing and Controls (RA CMC) facilitates product development and global registration by developing and executing regulatory strategies and managing effective regulatory agency interactions for product manufacturing and quality programs throughout product lifecycle. Amgen s CMC submission execution team, Regulatory Optimization of Tactical and Strategic Support (ROOTS2), is seeking to expand its capacity in India. The ROOTS2 team supports CMC submission execution for Amgen products across phases of development, modality and countries. The ROOTS2 staff member will interface with the Amgen Global, Site, Biosimilars, and/or Device RA CMC teams for specific strategies or activities that impact a product. The ROOTS2 staff member will be responsible for varying levels of product support, including leading projects, based upon their experience level. Additional job responsibilities include: Lead submission for annual reports, facility registrations, facility renewals, and product renewals Interact with authors/reviewers and subject matter experts with respect to delivery of CMC documents required for regulatory submissions Preparing submission content plans for CMC submissions including, CMC IND/CTAs and amendments, new marketing applications, facility registration and renewals, post market supplements/variations, product renewals, Module 3 baselines, and annual report/notifications Coordination, preparation, collection and/or legalization of CMC country specific documents Document and archive CMC submissions and related communications in the document management system Initiate and maintain CMC product timelines at the direction of product lead Interface with the regulatory operations team Train staff on select CMC procedures and systems Provide report status of activities and projects to teams and department Participate in cross-functional special project teams Basic Qualifications: Master s degree OR Bachelor s degree and 1-2 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry Associate s degree and 6 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry OR High school diploma / GED and 8 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry Preferred Qualifications: BS degree in Life Science Experience in manufacture, Process Development, Quality Assurance, Quality Control, or Analytical development Regulatory CMC specific knowledge and experience Mature project management and organizational skills Strong and effective oral and written communication skills Experience in Veeva Vault platforms Qualification : Bachelors degree and 1-2 years of experience in manufacture, QA/QC, or regulatory CMC in the Pharmaceutical/Biotechnology industry

Sr. Associate Sr. associate Regulatory Regulatory associate

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