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aws snowflake python databricks spark📋 Description
- Lead and mentor a high-performing data engineering team delivering scalable data solutions.
- Define vision for an AWS data platform enabling enterprise self-service.
- Drive architecture for data ingestion, transformation, and distribution.
- Champion adoption of Agentic AI and Generative AI in data workflows.
- Ensure reliability with quality controls and incident prevention.
🎯 Requirements
- 7-10 years leading data-centric engineers in finance.
- AWS data lakehouse expertise: S3, EKS, Lambda, Redshift.
- Databricks, Snowflake, Starburst, Collibra, Informatica.
- Strong Python (Pandas, Spark) and API development (FastAPI).
- REST/GraphQL API design with low-latency reads.
- CI/CD and IaC with GitHub, ArgoCD; IAM/KMS, observability.
🎁 Benefits
- 40% in-office monthly with flexibility.
- Learning culture with training and mentorship.
- Retirement planning and tuition reimbursement.
- Comprehensive healthcare and well-being programs.
- Inclusive workplace with ERGs.
- Volunteer days and matched donations.
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