Job Description
Job Description
The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required.
Job Responsibilities:
· Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake
· Ingest, transform, and curate data from multiple sources
· Optimize solutions for performance, reliability, scalability, and cost
· Implement data quality checks, monitoring, and observability for production pipelines
· Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence
· Data wrangling of heterogeneous data, exploration and discovery in pursuit of ...
The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required.
Job Responsibilities:
· Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake
· Ingest, transform, and curate data from multiple sources
· Optimize solutions for performance, reliability, scalability, and cost
· Implement data quality checks, monitoring, and observability for production pipelines
· Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence
· Data wrangling of heterogeneous data, exploration and discovery in pursuit of ...