Data Engineer

4 weeks ago

New Delhi, India Coffeee.io Full time

Job Title-Data Engineer Exp-6-8 Yeras Location- MumbaiJob Responsibilities- Actionable· Designing and implementing data storage solutions on Azure · Building and maintaining data pipelines for data integration and processing · Optimizing data processing performance through tuning and monitoring · Developing and maintaining data models and schemas · Ensuring data security and privacy prerequisites are followed · Designing and developing BI reports and dashboards · Collect data from various sources, transform into a practical format, and load into the appropriate data storage solution on Azure using tools such as Azure Data Factory and Azure Databricks. · Develop and maintain data models and schemas optimized for specific use cases. · Ensure that the data stored and processed on Azure conforms with applicable data security and privacy requirements · Develop operational and functional reports · Build automated reports and dashboards with the help of Power BI and other reporting tools · Understand business requirements to set functional specifications for reporting applications · Be experienced in tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, PowerBI · Be able to quickly shape data into reporting and analytics solutionsEducational Qualifications (examples listed below) Key Skills (examples listed below) Bachelors degree in Computer Science, IT or related area · 5 - 8 years of experience in design and development – particularly in databases and reporting ( relational and otherwise) · Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations · Proficiency in reporting tools and systems on MS SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI · Proficiency in Azure Data Factory (ADF) , Azure Data Lake and Databricks · Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. · Extensive knowledge on big data concepts like Hive, and spark framework. · Should be able to write complex SQL queries. Sound understanding of DWH concepts. · Strong hands-on experience on Python and/or Scala.

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