Description

You will build and maintain data infrastructure to support data-driven decision-making.

Responsibilities

• Design and build ETL/ELT data pipelines for efficient data ingestion and transformation from various sources into AWS data warehouses and data lakes.
• Architect, build, and optimize scalable data architectures using data lakes (S3, Delta Lake, Iceberg) and data warehouses (Redshift, Snowflake) on AWS.
• Collaborate with data scientists and analysts to design data models and schemas based on data requirements.
• Implement data quality and governance practices to ensure data accuracy and compliance.
• Troubleshoot complex data pipeline failures and implement system improvements.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in ETL processes.
• Hands-on experience with AWS cloud computing services.
• Proficiency with data formats including JSON, CSV, Parquet, and Avro.
• Experience designing solutions for both batch and streaming data.
• Strong working knowledge of data warehousing concepts, specifically Redshift and Snowflake.
• Experience in data management and data processing within an IT context.

Key Skills

Education

Any Gradute