Azure Data Engineer

22 hours ago

Bengaluru Karnataka India, Karnataka Ushatech solutions Full time

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 Role

As 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.
Skills Required

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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