Azure Data Engineer
3 weeks ago
We’re Hiring: Data Engineer (7+ Years of Experience)
Locations: Jaipur | Bhopal | Pune | Gurgaon | Bangalore | Chennai
Budget: ₹1.4 LPM – ₹1.9 LPM
Are you passionate about building scalable data solutions? We are looking for a skilled Data Engineer to join our team and work on end-to-end data engineering and data science use cases.
About the RoleAs a Data Engineer, you will design, build, and optimize scalable data pipelines and workflows on Azure, collaborating with cross-functional teams to deliver high-quality data solutions.
Responsibilities- Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and Spark.
- Develop and optimize data workflows using SQL and Python/Scala for large-scale processing & transformation.
- Implement performance tuning and optimization for data pipelines and Spark jobs.
- Collaborate with data engineers to support feature engineering, model deployment, and end-to-end workflows.
- Work with cross-functional teams to understand requirements and deliver scalable solutions.
- Ensure data quality and integrity through validation, error-handling, and monitoring mechanisms.
- Handle structured & unstructured data with Delta Lake, Parquet, and other Big Data technologies.
Primary Skills
- Azure Data Platform: Azure Data Factory, Databricks, Blob Storage, ADLS.
- Strong skills in SQL + (Python or Scala) for data manipulation.
- Experience with ETL/ELT pipelines and transformations.
- Knowledge of Big Data technologies (Spark, Delta Lake, Parquet).
- Ability to architect and implement end-to-end Azure-based data solutions.
Data Optimization & Performance
- Expertise in data pipeline optimization and performance tuning.
- Experience in feature engineering and model deployment.
Analytical & Problem-Solving
- Strong troubleshooting and problem-solving skills.
- Hands-on experience with data quality checks and validation.
Release & Deployment
- Experience with CI/CD tools and practices in a data engineering environment.
Nice-to-Have Skills
- Knowledge of data governance, security, and compliance in hybrid environments.
- Familiarity with data governance frameworks and compliance practices.
If this sounds like the right opportunity for you, we’d love to connect
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