- Design, build, and maintain scalable data pipelines and modern data platforms on Hadoop or cloud environments.
- Develop and optimize end-to-end ETL/ELT workflows for structured and unstructured data using contemporary data engineering frameworks.
- Architect robust data flows that improve scalability, reliability, and operational efficiency.
- Drive DataOps best practices by automating data provisioning, testing, monitoring, and deployment processes.
- Establish data governance standards, CI/CD pipelines, automated testing, and monitoring for production-grade data solutions.
- Collaborate with Enterprise Architecture and cross-functional teams to evaluate and implement the right data technologies and platform strategies.
- Build and maintain dimensional data models to support analytics and business intelligence initiatives.
- Develop highly optimized SQL queries to process and analyze large-scale datasets.
- Work with Python/PySpark and distributed computing technologies to process high-volume data efficiently.
- Lead data engineering work streams with a product mindset, ensuring high-quality and scalable data solutions.
- Continuously improve platform performance, deployment frequency, and data reliability through engineering best practices.
Earn certifications in these skills
+ 4 more skills
Who can apply
Only those candidates can apply who:
1. have minimum 4 years of experience
Salary
Probation:
Duration:
Salary during probation:
After probation:
Annual CTC: Competitive salary
Number of openings
1
Editor’s note
Information above is Internshala's interpretation and paraphrasing of what we found on the shared link.
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📌 Azure Data Engineer (Bengaluru)
🏢 Recro
📍 Bengaluru
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