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Data Engineer
1 month ago
Position: Data Engineer
Experience Level: 3-5 Years
Location: Hybrid (3 days onsite per month at CyberHub, Gurgaon)
Must-Have Skills:
- PySpark
- Azure
- Azure Data Factory (ADF)
- Databricks
- ETL Processes
- SQL
Good-to-Have Skills:
- Change Management Tools
- DevOps
Role Description:
We are looking for a skilled Data Engineer to design and build robust data solutions. In this role, you will:
- Develop and optimize data pipelines using Spark-SQL and PySpark in Azure Databricks.
- Create and manage ETL pipelines with Azure Data Factory.
- Implement and maintain Lakehouse architecture in ADLS/Databricks.
- Perform data preparation tasks, including cleaning, normalization, and deduplication.
- Collaborate with the DevOps team for production deployments.
- Troubleshoot data issues, take corrective actions, and identify root causes.
- Actively engage with the global Analytics team to share insights and propagate best practices.
- Lead and participate in data-driven projects.
- Apply change management tools to manage upgrades, changes, and data migrations.
Hybrid Work Model:
- Work primarily remote, with 3 days onsite per month at CyberHub, Gurgaon.
Why Join Us?
Be part of a global team driving innovation in data engineering. Collaborate across geographies, leverage cutting-edge tools, and tackle exciting challenges while enjoying the flexibility of hybrid work.