Data Engineer - Project Delivery Analyst

Data Engineer role focused on building and enhancing data pipelines and curated datasets for analytics and downstream consumption using AWS, Python, and Snowflake. Responsibilities include data transformation, workflow automation, data quality checks, performance optimization, and collaboration with various teams.

What you'd actually do

  1. Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
  2. Develop and maintain Snowflake objects (schemas, tables, views) and performant SQL transformations to produce curated, analytics-ready datasets.
  3. Implement workflow automation and scheduling (e.g., Airflow/MWAA, Step Functions, Glue) with proper dependencies, retries, and logging.
  4. Apply data quality checks and basic observability (validation rules, reconciliation, alerts) and support incident triage and remediation.
  5. Optimize pipeline and query performance with guidance (efficient Python, partitioning/file formats in S3, Snowflake warehouse usage and query tuning).

Skills

Required

  • 1+ year of experience building/enhancing data pipelines and curated datasets for analytics/downstream consumers.
  • 1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
  • 1+ year of experience with cloud data engineering on AWS (preferred) or Azure/GCP, including orchestration/scheduling (e.g., Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).
  • Understanding of ELT patterns and Lakehouse/warehouse concepts; familiarity with S3 file formats/partitioning (e.g., Parquet/Delta).
  • Working knowledge of DevOps practices (Git-based workflows, CI/CD) and exposure to Infrastructure-as-Code (Terraform/CloudFormation).
  • Understanding data quality, basic observability, and metadata/governance fundamentals.
  • Bachelor’s degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.

Nice to have

  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.