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Data Engineer

Summary

Build and maintain ETL pipelines using Azure Data Factory, Databricks, PySpark, and SQL to move and transform enterprise data, then surface insights in Power BI.

Position:

Data Engineer

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:

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.

Should be able to work collaboratively with other team members, as well as users for operational support

Expertise in Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, SQL Stored Procedure development, and performance tuning.

Should possess very good communication with strong business and data analysis skills

Experience in using Agile methodologies

Experience in developing and working on Power BI reports for enterprise level reports.
Key Responsibilities:

Develop, fine-tune, automate, and maintain ETL pipelines using Azure Data Factory, Azure Databricks, Python (PySpark), Azure SQL Database, and SQL Server Stored Procedures.

Develop ETL solutions using data integration tools for interfacing between source application and the Enterprise Data Warehouse

Document ETL data mappings, data dictionaries, processes, programs, and solutions as per established standards for data governance

Integrate ETL development with existing projects to maximize object reuse

Create, execute, and document unit test plans for ETL and data integration processes and programs

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.

Troubleshoot data issues and defects to determine root cause

Performance tuning of the ETL process and SQL queries, and recommend and implement ETL and query tuning techniques

Develop and create transformation queries, views, and stored procedures for ETL processes, and process automations

Location:

IN-GJ-Ahmedabad, India-Ognaj (eInfochips)

Time Type:

Full time

Job Category:

Engineering Services

See also