about 22 hours ago
Responsibilities
- Design, develop, and maintain scalable data pipelines using AWS services, Airflow, dbt Cloud, and Snowflake.
- Implement and govern Medallion Architecture across Bronze, Silver, and Gold layers.
- Build robust data ingestion frameworks leveraging AWS services such as S3, Lambda, Glue, SNS/SQS, Kinesis, and Kafka.
- Develop ELT pipelines using dbt Cloud for transformations, testing, documentation, and version control.
- Orchestrate workflows and dependencies using Apache Airflow.
- Partner with Product, Analytics, Risk, Compliance, and Business teams to deliver trusted data products.
- Ensure data quality, lineage, and observability through testing, monitoring, and alerting.
- Implement CI/CD pipelines for data workloads.
- Enforce data governance, security, and compliance standards.
Requirements
- 5+ years of hands-on experience in Data Engineering, preferably in banking or financial services.
- Strong expertise in Snowflake, including data modeling and performance tuning.
- Proficiency in dbt Cloud for models, tests, macros, and CI.
- Experience with Apache Airflow for DAG design and monitoring.
- Familiarity with AWS Data Services such as S3, Glue, Lambda, and Kinesis.
- Strong SQL and Python skills.
- Experience with Medallion / Lakehouse Architecture.
- Knowledge of data controls, auditability, and regulatory compliance.
- Experience handling sensitive data with strong security practices.
Benefits
- Competitive salary.
- Opportunity to earn an annual bonus.
- Great career growth and development opportunities in a global organization.
- A flexible approach to work.