Lead Data Analyst

4 weeks ago


Delhi, 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 processesCollaborate 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 roleRelational Database Experience: Proficiency with one or more of the following database platforms; e.g. Oracle, Microsoft SQL Server, PostgreSQL, MySQL/MariaDBProficiency 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 principlesProgramming 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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