Data Engineer

We are looking for an experienced Data Engineer with 5+ years of hands-on experience in designing, developing, and maintaining scalable data engineering solutions. The ideal candidate should have strong expertise in writing and optimizing complex SQL queries, including Window Functions, Common Table Expressions (CTEs), Aggregate Functions, Joins, Stored Procedures, and query performance tuning.

The candidate should have extensive experience in Data Warehousing, ETL/ELT development, Data Modeling (Star/Snowflake schemas), Data Due Diligence, Data Quality, Data Validation, and Data Governance. They should be proficient in designing and implementing robust, scalable, and high-performance data pipelines for batch and real-time data processing.

Hands-on experience with AWS data services such as AWS Glue, Amazon Redshift, Amazon S3, AWS Lambda, DynamoDB, AWS Data Catalog, AWS Athena, and IAM is highly preferred. Experience working with large datasets, cloud-based data platforms, and distributed data processing frameworks is a plus.

The ideal candidate should possess strong analytical and problem-solving skills, be capable of troubleshooting complex data issues, and collaborate effectively with cross-functional teams, including Data Analysts, Data Scientists, and Business Stakeholders. Experience with version control (Git), CI/CD practices, and Agile methodologies will be an added advantage.

Mandatory Skills

• 5+ years of Data Engineering experience
• Advanced SQL (Window Functions, CTEs, Aggregate Functions, Query Optimization)
• Data Warehousing & ETL/ELT Development
• Data Modeling & Data Due Diligence
• Building and maintaining scalable Data Pipelines
• AWS Glue, Redshift, DynamoDB, S3, Lambda, Athena, Data Catalog
• Strong analytical, debugging, and communication skills

Skills: data,data engineering,aws