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:

Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience

Key

Skills:

SQL, Snowflake, Python, AWS