Data Engineer

Candidate should Provide technical expertise in needs identification, data modeling, data movement, and translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective. Good knowledge of conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL). Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively

Mandatory Skills:

• 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)

• Strong experience with

  Python

• 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

Nice to Have:

• Experience with Big Data Tools and technologies
• Good Understanding of data structures and data analysis
• Knowledge of Insurance Domain is an addition.

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.
• Analyze 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)