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oracle

Cloud Data Engineer

EXL Talent Acquisition Team
Gurugram, IND
Full-time
Mid · 3+ years experience
Hybrid
Discovered 1 weeks ago
PySparkPythonSQLDatabricksAzureAzure Data Factory
Free

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PySparkPythonSQL
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Responsibilities

  • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems address any issues or bottlenecks in existing pipelines.
  • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
  • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
  • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
  • Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

Qualifications

  • 3-6 years’ experience on Data Engineering role working with Databricks & Azure Cloud technologies.
  • Bachelor’s degree in computer science, Information Technology, or related field.
  • Strong proficiency in PySpark, Python, SQL.
  • Strong experience in data modeling, ETL/ELT pipeline development, and automation
  • Hands-on experience with performance tuning of data pipelines and workflows
  • Proficient in working on Azure cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake etc.
  • Experience with data modeling, ETL processes, Delta Lake and data warehousing.
  • Experience on Delta Live Tables, Autoloader & Unity Catalog.
  • Preferred - Knowledge of the insurance industry and its data requirements.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Excellent communication and problem-solving skills to work effectively with diverse teams
  • Excellent problem-solving skills and ability to work under tight deadlines.

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