Source description
About the role
Job Title : Data Engineer
Experience : 7-10 Years
Location : Mumbai
Roles & Responsibilities
Gather functional and technical requirements during system design discussions
Build, deploy, and maintain scalable data pipelines
Design and manage ETL workflows for structured and unstructured data
Develop data solutions using Python, PySpark, and SQL
Work with streaming pipelines and modern big data tools
Optimize SQL queries and improve pipeline performance
Implement and manage Azure-based data engineering solutions
Maintain ETL deployments following Agile methodology
Suggest and apply best practices in data integration
Support QA teams with integration testing
Break deliverables into tasks and coordinate execution
Perform system optimization and troubleshooting
Collaborate with cross-functional and global teams
Requisites
Degree in Computer Science / IT or related field
Strong skills in Python, PySpark, and SQL
Knowledge of Databricks, Data Factory, and Data Lake
Hands-on exposure to Azure data ecosystem
Understanding of ETL frameworks and big data architecture
Experience with Hadoop, Hive, Airflow, and Kafka
Familiarity with Unix/Linux shell scripting
Knowledge of CI/CD and Kubernetes
Ability to work in Agile environments
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