Senior Azure Data Engineer

5 days ago

Bangalore, India 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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