Senior Data Engineer
The TJX Companies, Inc. (company site, opens in a new tab)7+ yrsHyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain complex data pipelines using ADF, Talend, and SQL with a focus on data transformation, orchestration, and quality.
- Lead architecture and design decisions for scalable data platforms involving Snowflake, Azure, and Databricks technologies.
- Collaborate with product teams, architectures, and business partners to deliver data engineering solutions supporting $50B+ annual revenue and Agile delivery practices.
Minimum Requirements
- Bachelor’s Degree or equivalent technical training/experience in relevant domain.
- 7+ years of strong data engineering experience including leading medium to large scale projects end-to-end.
- Hands-on expertise with ADF, Talend, Snowflake, SQL, Databricks, and Python mandatory.
- Experience working in Agile (Scrum/Kanban/SAFe) environments mandatory.
Ideal Candidate Profile
- Experienced in owning full lifecycle data engineering projects with strong coding standards, performance tuning, and documentation focus.
- Expertise in data warehousing, data modeling, data quality processes, and automation within cloud ecosystems (especially Azure).
- Comfortable working collaboratively in global, fast-paced teams integrating technical and business needs while driving innovation and efficiency.