Posted:1 week ago
Dear Candidates,
We are looking for experienced Senior Data Engineers with strong expertise in Databricks or Snowflake.
Interested candidates who meet the above criteria are encouraged to apply. share resumes on Rucha.labhe.c@eclerx.com
1. Lead the design and implementation of scalable Databricks Lakehouse data solutions supporting analytics and business applications.
2. Design and optimize high-volume batch and near-real-time data pipelines using PySpark, SQL, Python, Delta Lake, and Databricks workflows. 3. Design and develop end to end frameworks using patterns such as CDC, incremental processing, deduplication, SCD, and schema evolution. 4. Design data models and processing frameworks that provide reliable, performant, and reusable datasets for analytics and downstream applications. 5. Contribute to data governance, security, access control, and lineage using Databricks and Unity Catalog. 6. Drive engineering best practices including Git, code reviews, automated testing, CI/CD, documentation, and production support. 7. Collaborate with data architects, analysts, BI teams, data scientists, and business stakeholders to translate requirements into scalable data solutions. 8.Experience with Airflow or other modern orchestration tools. 9. Mentor intermediate engineers and provide technical guidance on data-engineering practices and platform capabilities.
Warm Regards,
Talent Acquisition | Mumbai
Email: Rucha.labhe.c@eclerx.com
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