Sr Data Engineer-Snowflake, AWS
Indexed description
We’re looking for a Sr Data Engineer with AWS and Snowflake
Synechron, is a global provider of Information Technology outsourcing services focused on the banking, finance and payments industry. We provide a broad range of IT services and technology solutions that are flexible, cost-effective, efficient and reliable. We pride ourselves on our ability to deliver high quality resources and solutions to our clients. Through Synechron’s Financial innovation labs, we continue to develop innovative solutions by providing engineering payment solutions, creating tools and processes that shape the evolution of technology. For more information on the company, please visit our website:www.synechron.com.
Job Description:
Mandatory Skills & Experience
- Strong experience with Snowflake Data Cloud.
- Hands-on expertise in DBT (Data Build Tool) for transformations and data modeling.
- Strong experience with AWS services including:
- S3
- Lambda
- Glue
- IAM
- CloudWatch
- Step Functions (preferred)
- Advanced SQL development and query optimization skills.
- Strong Python programming experience for data engineering and automation.
- Experience building enterprise ETL/ELT pipelines.
- Experience working with structured and semi-structured data (JSON, XML, CSV).
- Knowledge of data governance, security, and access management.
- Experience in CI/CD and DevOps practices for data platforms.
Snowflake Expertise
- Snowflake architecture and administration.
- Snowpipe, Streams & Tasks.
- Data sharing and secure views.
- Performance tuning and query optimization.
- Role-based access controls (RBAC).
- Data ingestion and transformation frameworks.
DBT Expertise
- DBT models and macros.
- Incremental loading strategies.
- Data testing and validation.
- Source-to-target mapping.
- Documentation and lineage.
- CI/CD integration with DBT.
Desirable Skills
- Experience with Airflow, Prefect, or similar orchestration tools.
- Knowledge of data lake and lakehouse architectures.
- Experience with AI-assisted development tools such as:
- Claude Code
- GitHub Copilot
- Amazon Q
- Experience within Banking, Financial Services, or regulated environments.
- Exposure to real-time and streaming data solutions.
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