Azure Data Engineer
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Summary
Azure Data Engineer building and optimizing ETL data pipelines, data integrations, and data models on the Azure stack — Python, PySpark, Databricks, ADLS, ADF, ADB, and advanced SQL. Hybrid role across major Indian cities for candidates with roughly 5.5–8.5 years of experience.
If you are interested Please share your resume @
Kavita@opekaserve.com
9289967912
Job Details:
Job Title : Azure Data Engineer
Location : Mumbai, Bangalore, Gurugram, Chennai
Mode : Hybrid
Job Description
- Data Pipeline Development: Design and implement data pipelines for data extraction, transformation, and loading (ETL) processes. Ensure data quality, reliability, and timeliness.
- Data Integration: Oversee data integration efforts, ensuring seamless data flow between different systems and sources. Collaborate with data analysts, data scientists, and business stakeholders to define data integration requirements.
- Data Modeling: Define and implement data models that support analytical and reporting needs. Optimize data structures for query performance and storage efficiency.
- Database Management: Manage and optimize databases, both relational and NoSQL, for performance, scalability, and security.
- Experience: 5.5 to 8.5 years
- Mandatory Skills: Python, Pyspark, Databricks, Azure Services(ADLS, ADF, ADB), SQL Advanced
- Data Warehouse, Data Modeling, Data Strategy, Data Quality
- Good communication and Problem-solving skills.