Data Engineer

- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to identify and resolve data-related challenges, ensuring smooth project execution.
- Mentor junior team members to enhance their technical skills and professional growth.
- Coordinate cross-functional initiatives to align data engineering efforts with business objectives.
- Build and operate scalable Lakehouse pipelines on Databricks/Azure. Own ELT/streaming, Delta Lake optimization, Unity Catalog governance, and CI/CD. Integrate ADLS/ADF/Synapse, and deliver high-quality data sets for BI/ML/GenAI.
- Must-haves: PySpark, SQL, Databricks (Delta, DLT/Workflows), Azure data services, Unity Catalog, CI/CD.
- ML flow/Feature Store, Power BI, streaming/CDC, vector search/RAG, Terraform.