AWS Data Engineer

EXL Talent Acquisition Team; Dadri; Hybrid; INR 1,200,000 - 1,600,000; Full time

Job summary

EXL Talent Acquisition Team is seeking a Data Engineer to translate business needs into scalable data models and support long-term data architecture decisions. The role requires strong SQL, Snowflake, and Python skills to build robust ETL processes and data pipelines.

You will work in a hybrid setup in Gurugram, collaborating with cross-functional teams to implement data solutions, optimize performance, and ensure data quality across platforms.

Qualifications

• 5+ years of experience as a Data Engineer.
• 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 processes and data modeling concepts.
• Knowledge of star schema and snowflake schema.
• Good knowledge of AWS services such as S3, Athena, Glue, EMR/Spark, with emphasis on S3/Glue.
• Good knowledge of Python.

Responsibilities

• Translate business needs into data models for long-term solutions.
• Reverse engineer physical data models from databases and SQL scripts.
• Analyze data integration challenges and propose data movement solutions.
• Support setting data architecture direction to ensure business value.

Skills

SQL

Python

Snowflake

ETL

AWS

CI/CD

CTEs

Data Modeling

Data Warehousing

Education

Bachelor's degree in Computer Science / Software Engineering / MIS

Tools

Snowflake

AWS

CI/CD pipelines

Job description

Role: 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:

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

Key Skills:

SQL, Snowflake, Python, AWS