Data Engineer
Core
Designing, developing, and maintaining scalable data solutions for data integration, analytics, reporting, and business intelligence.
Role type
Senior Data Engineer
Builds
Scalable ETL/ELT pipelines, data ingestion frameworks, and data warehouse solutions.
Domain
Cloud data engineering, data warehousing, and big data processing.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, AWS Glue, AWS Lambda, Snowflake, SQL, ETL/ELT frameworks, Git, CI/CD
Preferred skills
Data orchestration tools, data lake architectures, analytics support
Technologies
AWS (Glue, Lambda, S3, CloudWatch, IAM), Snowflake, PySpark, DBT
Responsibilities
Design and optimize scalable ETL/ELT pipelines; Build and maintain data ingestion frameworks; Develop and manage data transformation processes; Utilize Snowflake for data modeling and query optimization; Automate workflows using AWS Lambda; Monitor and enhance pipeline performance and reliability.
Seniority
Mid-to-Senior (4–9 years experience)
