Data Engineer

Job Title: Data Engineer (PL/SQL, T-SQL, AWS Glue, ETL)

Experience: 4-8 Years
Location: Hybrid

Job Description

We are looking for a skilled Data Engineer with strong expertise in PL/SQL, T-SQL, AWS Glue, and ETL development. The candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data integration solutions, and ETL processes in AWS environments.

Key Responsibilities

• Design and develop ETL/ELT workflows using AWS Glue.
• Develop and optimize complex PL/SQL and T-SQL queries, procedures, functions, and packages.
• Build and maintain data pipelines for data extraction, transformation, and loading.
• Work with relational databases such as Oracle and SQL Server.
• Integrate data from multiple sources into data warehouses and data lakes.
• Monitor, troubleshoot, and optimize ETL jobs for performance and reliability.
• Collaborate with business and technical teams to understand data requirements.

Required Skills

• Strong experience in PL/SQL and T-SQL development.
• Hands-on experience with AWS Glue and ETL development.
• Experience with Oracle, SQL Server, and AWS services.
• Knowledge of Data Warehousing, Data Modeling, and Data Migration.
• Good understanding of AWS S3, Redshift, Lambda, and related AWS services.
• Experience in performance tuning and query optimization.

Good to Have

• Python scripting.
• Experience with CI/CD and Agile methodologies.
• Exposure to data governance and cloud migration projects.

Keywords: Data Engineer, PL/SQL, T-SQL, AWS Glue, ETL, SQL Server, Oracle, AWS, Redshift, S3, Data Warehouse, Data Integration