Staff Engineer - Data Engineering, Analytics & AI/ML
The TJX Companies, Inc. (company site, opens in a new tab)9+ yrsHyderabadOn-siteDirect career pageEst. 32–48 LPA
Posted 21h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data integration and ETL/ELT solutions supporting enterprise analytics, reporting, and AI/ML use cases.
- Lead technical design, code reviews, performance tuning, and mentor junior data engineers to ensure maintainable, high-performing data platforms and pipelines.
- Collaborate with cross-functional teams to deliver secure, scalable data architectures and solutions using platforms like Talend, Snowflake, and Databricks.
Minimum Requirements
- Bachelor's degree in Computer Science, IT, Engineering, Analytics or related field.
- 9+ years of relevant experience in Data Engineering, ETL development, Data Warehousing, or Data Modeling.
- Expert-level SQL skills and extensive hands-on experience with Talend for ETL pipeline design and production support.
- Experience with Snowflake, Databricks, Python scripting, and workload scheduling/orchestration tools (e.g., Control-M, AutoSys).
Ideal Candidate Profile
- Experienced in leading enterprise-scale data integration projects within large, fast-paced environments and cross-functional teams.
- Strong background in designing data architectures for analytics, AI, and ML; skilled in mentoring and driving technical best practices.
- Comfortable working with cloud and hybrid data environments, applying DevOps and CI/CD to data pipelines, with a focus on business impact in retail or large enterprise contexts.