Role: AWS Data Engineer

Location: Gurugram (Hybrid)

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, AWS, Snowflake, Pyspark

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).

Qualifications

Bachelor Degree

AWS Data Engineer