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
