Analytics Solution
Analytics Solution
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Job Description
Location of role : Mumbai (Kanjurmarg – 4989 / Bengaluru
Job Purpose
Responsible for daytoday tasks related to data engineering data modeling ETL (Extract Transform Load) data warehousing and data analytics.
Work with Azure Data Factory (ADF) and Databricks to design develop and maintain data pipelines and data platforms.
Build operational and automated dashboards reports with help of Power BI and other reporting tools
Job Responsibilities(JR) : 6 – 8 Areas
Actionable 46
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 handson experience on Python and/or Scala.
Skills
Ssrs, Azure, Data Analytics, Big Data, Data Modeling, Scala, Power Bi, Ms Sql Server, Python, Data Security, Tsql, Sql Server, Sql, Data Integration
Employment Type
Full Time
