Lead Data Analyst

4 weeks ago


India CES Full time

Job Role:

We are looking for a Lead Data Engineer to join our team.


Ideal Candidate:

  • Overall 7+ years of experience.
  • 5+ years of experience in Data Engineering / Modelling and SQL.
  • 2+ years of experience in in Azure.
  • Design, develop, and maintain data pipelines for ingestion, transformation, and loading of data into Azure Synapse Analytics.
  • Transform and clean the data to ensure its suitability for PowerBI analysis.
  • Build and maintain data pipelines for regular data refresh in PowerBI.
  • Monitor and maintain Azure Synapse pipelines for on-prem data extraction and transformation.
  • Troubleshoot data pipeline issues and optimize data processing performance.
  • Understand functional and non-functional requirements, performing source data analysis, data profiling, and implementing efficient ELT processes
  • Collaborate with Business Analysts to understand data requirements, model design, and refine pipeline configurations.
  • Data Governance and Security: Ensure compliance with data governance policies and implement security measures to protect sensitive data stored in Azure.
  • Stay updated on Azure Synapse advancements and explore new data integration possibilities.
  • All other duties and responsibilities as assigned.
  • Required Experience & Education:
  • Bachelor’s degree in engineering, Computer Science or a minimum of six years of experience in a relevant data engineering role
  • Relational Database Experience: Proficiency with one or more of the following database platforms; e.g. Oracle, Microsoft SQL Server, PostgreSQL, MySQL/MariaDB
  • Proficiency in SQL: Strong SQL skills, including experience with complex SQL queries, stored procedures, and performance optimization techniques.
  • Data Modeling and Warehousing Concepts: dimensional modeling, star schemas, and data warehousing principles
  • Programming skills: Expertise in languages such as Python or R for data manipulation, model development, and analysis.
  • At least 2 to 3 years of experience with any of the following or similar:
  • Data Engineering and Data Management: Azure Data Lake Storage, Azure Monitor, Azure Data Factory, Azure Stream Analytics, Azure Data Catalog, Oracle Golden Gate.



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