AWS/ Azure Data Engineer | 4 to 8 years | One of the Leading Big4

Job Title: Data Engineer

Experience: 4 to 8 Years

Budget: 22.5 LPA

Location: Mumbai, Bangalore

Type: Full-Time

Job Description:

Data Engineer (Python, PySpark, Spark, SQL, AWS/Azure)

Were looking for a Data Engineer who has solid, hands-on experience working with Python, PySpark, Spark, SQL , and either AWS or Azure . This role is focused on building and maintaining reliable data pipelines and helping us improve how we store, process, and use data across the company.

What youll do

• Build and maintain data pipelines using Python and PySpark.
• Work with Spark to process large datasets and improve performance where needed.
• Write and tune SQL for data extraction, transformation, and reporting.
• Work with our cloud environment (AWS or Azure) to move and manage data.
• Collaborate with data analysts, data scientists, and engineering teams to support their data needs.
• Help improve data quality, monitoring, and overall reliability of our data systems.
• Troubleshoot issues in data workflows and optimize jobs for better speed and stability.

What were looking for

• Strong, practical experience with Python and PySpark.
• Experience with Databricks.
• Very comfortable working with Spark in a production environment.
• Solid SQL skills you should be able to write and optimize complex queries.
• Hands-on experience with AWS or Azure data services.
• Understanding of data modeling, ETL/ELT processes, and general data engineering best practices.
• Ability to work independently and take ownership of projects.
• Someone who enjoys solving problems and digging into messy datasets.

Nice to have

• Familiarity with Airflow, Data Factory, Glue, or other orchestration tools.
• Some exposure to CI/CD, Git, or general DevOps workflows.
• Knowledge of data governance or security practices.