Position:

Job Description:

JD For Data Engineer
Experience: 5 Years
Tools: Azure Data Factory, Azure Databricks, Azure SQL Database, SQL, Python (PySpark), Microsoft Power BI
Mandatory Skills:
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Should be well-versed in the design and development of ETL solutions using Azure Data Factory, Azure Databricks, Python (PySpark), and SQL for large-scale data warehouses.
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Should be able to work collaboratively with other team members, as well as users for operational support
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Expertise in Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, SQL Stored Procedure development, and performance tuning.
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Should possess very good communication with strong business and data analysis skills
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Experience in using Agile methodologies
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Experience in developing and working on Power BI reports for enterprise level reports.
Key Responsibilities:
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Develop, fine-tune, automate, and maintain ETL pipelines using Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, and SQL Server Stored Procedures.
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Develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse
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Document ETL data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance
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Integrate ETL development with existing projects to maximize object reuse
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Create, execute, and document unit test plans for ETL and data integration processes and programs
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Work with the peers in data team to assess and troubleshoot potential data quality issues at key intake points such as validating control totals at intake.
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Troubleshoot data issues and defects to determine root cause
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Performance tuning of the ETL process and SQL queries, and recommend and implement ETL and query tuning techniques
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Develop and create transformation queries, views, and stored procedures for ETL processes, and process automations

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