Senior Data Engineer

3 weeks ago


India Deltacubes Full time

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience with Microsoft Fabric or similar cloud-based data integration platforms is a must.
  • 10+ years of experience in data engineering, with a strong focus on ETL development using PySpark or other Spark-based tools.
  • Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.
  • Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.
  • Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.
  • Experience working with both structured and unstructured data sources.
  • Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.
  • Proven ability to work independently, as part of a team, and in leadership roles.
  • Strong communication skills with the ability to translate complex technical concepts into business terms.

Mandate skills

  • Experience with Data lake, Data warehouse, Delta lake
  • Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools.
  • Knowledge of scripting languages (e.g., Python, Scala) for data manipulation and automation.
  • Familiarity with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.



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