AWS Data Engineer designing data models and supporting data architecture for various clients at EXL. Collaborating to deliver data solutions for improved business outcomes in a hybrid work environment.
Responsibilities
Understand and translate business needs into data models supporting long-term solutions.
Perform reverse engineering of physical data models from databases and SQL scripts.
Analyse data-related system integration challenges and propose appropriate solutions.
Assist with and support setting the data architecture direction (including data movement approach, architecture/technology strategy, and any other data related considerations to ensure business value).
Strong knowledge of joins and common table expressions (CTEs)
Experience in Snowflake, ETL, SQL, CI/CD
Strong expertise in ETL process and with various data model concepts
Knowledge of star schema and snowflake schema
Good to know about AWS services such as S3, Athena, Glue, EMR/Spark with a major emphasis on S3 and Glue
Good knowledge of Python
Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Benefits
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others.
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