Data Engineer

Key Role and 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.

Education: Bachelors degree in computer science, Software Engineering, MIS or equivalent combination of education and experience

Key Skills: SQL, Snowflake, Python, AWS