Senior Data Engineer at Noda creating scalable data solutions for smarter, sustainable buildings. Collaborating with teams to optimize data for high - performance analytics.
About the role
- 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).
Requirements
- 5+ Years of experience as a Data Engineer
- Strong technical expertise in SQL Advanced SQL querying skills (joins, subqueries, CTEs, aggregation)
- 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.
- • Medical insurance
- • Paid time off
- • Professional development opportunities
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