Key Responsibilities:
- Design and develop highly scalable and extensible data pipelines for collection, storage, distribution, modeling, and analysis of large datasets
- Develop and implement data quality frameworks including unit, integration, and functional tests, with thorough documentation
- Build current data integrations, including APIs, to handle increasing data volume and complexity
- Develop scalable pipelines to improve data management, analytics, and reporting efficiency
- Ensure compliance with data governance processes to maintain quality, usability, consistency, integrity, and security
- Implement solutions aligned with architectural and data governance standards for integrations, storage, reporting, and analytics
- Perform data analysis to troubleshoot and resolve data-related issues
- Collaborate with stakeholders and IT leaders to deliver solutions meeting business needs
- Communicate effectively across all organizational levels to influence and drive results
- Leverage expertise in data warehousing, data modeling, DevOps/CI-CD, API integration, big data,



data streaming, and cloud computing platforms (e.g., Azure)

Minimum Qualifications:
- 5+ years of engineering experience in Data and Analytics and MDM, focusing on scalable solutions
- 5+ years of experience with Talend Data Integration and Talend Big Data ETL tool
- 5 years working with RDBMS databases, preferably Snowflake
- 3+ years programming and scripting in Python, Java, SQL, Unix Shell Scripting, and Stored Procedures
- 2+ years programming and data streaming with Kafka and Azure Function App or similar technologies
- 2+ years creating test plans, strategies, test cases, and test scripts for data systems
- 2 years using job scheduling applications and security APIs
- 2 years DevOps experience with tools like Jenkins, JFrog, GitHub, Control-M
- 3 years working in Agile and Scrum frameworks

Preferred Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a techni

📌 Senior Engineer EIM Talend (Secunderabad)
🏢 TJX
📍 Secunderabad