Related skills
aws snowflake python databricks graphql📋 Description
- Contribute to a high-performing data engineering team with scalable data solutions.
- Partner with the CDO to implement an AWS data platform enabling self-service AI/analytics.
- Implement ingestion, transformation, and distribution frameworks for faster insights.
- Champion AI adoption, integrating capabilities into data workflows.
- Ensure reliability with robust quality controls and incident prevention.
🎯 Requirements
- 3-5 years hands-on data-centric software engineering experience in financial services.
- Strong AWS expertise (S3, EKS, Lambda, Glue, Redshift, etc.) and data platforms (Databricks, Snowflake).
- Experience with data catalogs and MDM (Collibra, Informatica) and data governance.
- Python for data engineering (Pandas, Spark) and API development (FastAPI).
- REST/GraphQL API design, low-latency reads; ETL/ELT, Kafka/MSK.
- CI/CD and IaC with GitHub workflows and ArgoCD; security and reliability (IAM, KMS, VPC, observability).
- Strong collaboration with stakeholders to solve complex data needs.
🎁 Benefits
- Work-Life Balance: 40% in-office monthly; flexible.
- Culture of Learning & Mobility: trainings, leadership development, mentorship.
- Retirement planning and tuition reimbursement programs.
- Comprehensive healthcare and well-being offerings.
- Family-friendly policies, including parental leave.
- Inclusive environment with Employee Resource Groups and global collaboration.
- Paid volunteer days and matched donations.
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