Senior Data Engineer

**Job Description** **Must Have Skills:** Strong hands‑on experience with **Azure Data Lake Gen2, Synapse, Databricks** Solid experience in PySpark / Spark SQL, Databricks performance tuning \& job optimization Proficient in **Complex SQL (window functions, CTEs, execution plans)** Strong understanding in Mentoring junior and mid‑level engineers, Communicating trade‑offs to architects and product teams Experience working with **Azure DevOps or GitHub Actions** **Nice To Have Skills** Experience with **Streaming \& Real‑Time Data Processing** on Designing low‑latency pipelines. Exposure to **Data Governance \& Metadata Management** in Data classification \& sensitivity labels Familiarity with **Advanced Python Engineering Practices** on Performance‑aware Python design Experience working in **Analytics \& BI Awareness** Knowledge of **Cloud Cost Optimization \& FinOps** **Detailed Job Description** The Senior Data Engineer will be responsible for designing, building, and operating scalable, secure, and high‑performance data platforms. The role involves critical data pipelines and architectures that power analytics, reporting, and advanced data use cases such as machine learning and real‑time insights. The candidate will collaborate closely with analytics, data science, product, and business teams while mentoring engineers and driving engineering best practices across the data organization. The role combines **technical leadership, architecture ownership, and business impact** .