
Data Engineer
7 hours ago
Job Title-Data Engineer
Exp-6-8 Yeras
Location- Mumbai
Job 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 solutions
Educational 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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