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Kuoni Tumlare - Data Engineer - Azure Data Factory Job Opening In Delhi Division – Now Hiring Kuoni Tumlare


Job description

<p><p><b>Key Responsibilities :</b><br/><br/></p><p>- Develop robust data pipelines and ETL workflows using Python and Apache Spark.<br/><br/></p><p>- Orchestrate complex workflows using Databricks Workflows or Azure Data Factory.<br/><br/></p><p>- Translate business rules, retention metadata, and data governance policies into reusable, modular, </p><p>and scalable pipeline components.<br/><br/></p><p>- Ensure adherence to data privacy, security, and compliance standards (e.g., GDPR, HIPAA, etc.<br/><br/></p><p>- Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to align data solutions with business goals.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/></p><p>- 4 to 7 years of experience in data engineering<br/><br/></p><p>- Expert-level proficiency in Python, Apache Spark, and Delta Lake.<br/><br/></p><p>- Strong experience with Databricks Workflows and/or Azure Data Factory.<br/><br/></p><p>- Deep understanding of data governance, metadata management, and business rule integration.<br/><br/></p><p>- Strong communication skills.<br/><br/></p><p>- Experience with cloud platforms such as Azure.<br/><br/><b>Preferred Qualifications :</b><br/><br/></p><p>- Experience with CI/CD pipelines and DevOps practices in data engineering.<br/><br/></p><p>- Familiarity with data cataloging and data quality tools.<br/><br/></p><p>- Certifications in Azure Data Engineering or related technologies.<br/><br/></p><p>- Exposure to enterprise data architecture and modern data stack tools</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


  • Job Details

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