Senior Data Engineer

On-siteSeniorData Engineerposted 2mo ago

✦Role summaryAI-generated

This Senior Data Engineer role at Arrow Electronics focuses on designing scalable ETL pipelines and data warehouses using Azure tools while collaborating with cross-functional teams to optimize data workflows and business reporting. The position emphasizes hands-on expertise in PySpark, SQL, and Power BI for enterprise-grade analytics and operational support.

Skills required

Azure data factory Spark Azure databricks Sql stored procedures Azure sql database Etl pipelines Power BI Agile methodologies Data warehousing Performance tuning Azure Databricks SQL Python ETL Data analysis Data governance Data quality

About this role

Position:Senior Data EngineerJob 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