Description

You will design and implement end-to-end data solutions focusing on ingestion, storage, integration, and processing.

Responsibilities

• Translate business requirements into technical solutions using conceptual, logical, and physical data models.
• Build and manage ETL/ELT processes to move data across RDBMS, ODS, data marts, and data lakes.
• Optimize data query performance and govern the expansion of existing data architecture.
• Conduct end-to-end verification and validation for the entire application.
• Oversee data movement and modeling while adhering to established data guidelines.

Required Skills

• 5+ years of experience in data engineering.
• Expert-level SQL skills, including deep knowledge of joins and common table expressions (CTEs).
• Strong experience with Python for data analysis and manipulation.
• Proven expertise in ETL/ELT processes and various data modeling concepts.
• Practical knowledge of star schema and snowflake schema architectures.
• Experience implementing RDBMS, data lakes, and NoSQL platforms.
• Strong understanding of data structures and data analysis.
• Degree in any field (Any Graduate).

Preferred Skills

• Knowledge of AWS services including S3, Glue, Athena, and EMR/Spark, with a focus on S3 and Glue.
• Experience with Big Data tools and technologies.

Key Skills

Education

Any Graduate