AWS Data Engineering Specialist

Description: We are looking for a Data Engineer who is adept at building and maintaining data engineering frameworks such as DBT, SQLMesh, and Coalesce within AWS EMR/Glue environments. This role involves hands-on development and optimization of data pipelines, ensuring they are efficient and aligned with the bank's data strategy.   Key Responsibilities: ·       Experience with AWS data services, including AWS EMR, Glue, S3, Redshift, and other related technologies. ·       Proven experience in building advanced data engineering frameworks on AWS EMR/Glue, Apache Spark and other AWS Data services technology. ·       Strong understanding of writing efficient, reliable, and maintainable code to manage data workflows. ·       Solid foundation in software engineering, including Object-Oriented Design (OOD) and design patterns. ·       Optimize data processing pipelines for performance and scalability. ·       Collaborate with data architects to implement best practices and improve data framework capabilities. ·       Assist in resolving technical challenges and provide support to the data engineering team.   Minimum Qualifications: ·       Bachelor’s degree in Computer Science, Engineering, or a related technical field. ·       3+ years of hands-on experience with AWS services, specifically EMR and Glue. ·       Proficiency in building data engineering frameworks like DBT, SQLMesh, or Coalesce. ·       Solid understanding of SQL, data modeling, and ETL processes.  Preferred Qualifications: ·       Experience with version control systems and CI/CD pipelines. ·       Familiarity with additional AWS services and data analytics tools.