Azure Data Engineer
14 hours ago
Job Title: Data Engineer (5+ Years)
Location: Jaipur, India
Employment Type: Full-time
Key Responsibilities:
- Design, develop, and manage scalable data pipelines using Databricks (Spark, Delta Lake).
- Optimize large-scale data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Scientists, Analysts, and Business Stakeholders to understand requirements and deliver actionable insights.
- Ensure data quality, integrity, and consistency across multiple systems and data sources.
- Work with cloud data platforms (Azure, AWS, GCP) and leverage cloud-native services.
- Implement data governance, cataloging, and lineage tracking using tools such as Unity Catalog, Great Expectations, or similar.
- Monitor, debug, and troubleshoot data pipelines, ensuring high availability and stability.
- Contribute to best practices, coding standards, and architectural improvements for the data engineering team.
Required Qualifications
- 5+ years of professional experience in Data Engineering or related roles.
- Strong hands-on expertise with Databricks, Apache Spark, and Delta Lake.
- Proficiency in SQL, Python, and distributed data processing concepts.
- Experience with cloud platforms (Azure/AWS/GCP) and cloud-native tools.
- Hands-on exposure to ETL/ELT processes, data warehousing, and the modern data stack.
- Familiarity with CI/CD pipelines, version control (Git), and agile development practices.
- Strong analytical, problem-solving, and communication skills.
- Ability to work independently as well as in cross-functional teams.
Preferred Skills
- Experience with workflow orchestration tools (Airflow, ADF, or similar).
- Knowledge of data lakehouse architectures and advanced data modeling techniques.
- Exposure to containerization and deployment (Docker, Kubernetes).
Interested candidates can share us your resume at
Job Types: Full-time, Permanent
Pay: ₹700, ₹1,500,000.00 per year
Benefits:
- Food provided
- Health insurance
- Life insurance
- Paid sick time
- Provident Fund
Work Location: In person
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