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.