Data Engineer For a US based IT Company based in Hyderabad

We are Hiring Data Engineer for a US based IT Company Based in Hyderabad. Candidates with minimum 5 Years of experience in Data Engineering can apply. This job is for 1 year contract only Job Title: Data Engineer Location: Hyderabad CTC: Upto 20 LPA Experience: 5+ Years Job Overview: We are looking for a seasoned Senior Data Engineer with deep hands-on experience in Talend and IBM DataStage to join our growing enterprise data team. This role will focus on designing and optimizing complex data integration solutions that support enterprise-wide analytics, reporting, and compliance initiatives. In this senior-level position, you will collaborate with data architects, analysts, and key stakeholders to facilitate large-scale data movement, enhance data quality, and uphold governance and security protocols. Key Responsibilities: Develop, maintain, and enhance scalable ETL pipelines using Talend and IBM DataStage Partner with data architects and analysts to deliver efficient and reliable data integration solutions Review and optimize existing ETL workflows for performance, scalability, and reliability Consolidate data from multiple sourcesboth structured and unstructuredinto data lakes and enterprise platforms Implement rigorous data validation and quality assurance procedures to ensure data accuracy and integrity Adhere to best practices for ETL development, including source control and automated deployment Maintain clear and comprehensive documentation of data processes, mappings, and transformation rules Support enterprise initiatives around data migration , modernization , and cloud transformation Mentor junior engineers and participate in code reviews and team learning sessions Required Qualifications: Minimum 5 years of experience in data engineering or ETL development Proficient with Talend (Open Studio and/or Talend Cloud) and IBM DataStage Strong skills in SQL , data profiling, and performance tuning Experience handling large datasets and complex data workflows Solid understanding of data warehousing , data modeling , and data lake architecture Familiarity with version control systems (e.g., Git) and CI/CD pipelines Strong analytical and troubleshooting skills Effective verbal and written communication, with strong documentation habits Preferred Qualifications: Prior experience in banking or financial services Exposure to cloud platforms such as AWS , Azure , or Google Cloud Knowledge of data governance tools (e.g., Collibra, Alation) Awareness of data privacy regulations (e.g., GDPR, CCPA) Experience working in Agile/Scrum environments For further assistance contact/whatsapp: 9354909518 or write to priya@gist.org.in