Position: Sr Data Engineer (CE50SI RM 4572)

Shift timing : 10am-7pm IST with flexibility to adjust for client calls/meetings/release schedules

Work Mode : Work from Office

Education Required : Bachelor’s degree in computer science or a related field

Prefer in-person if candidate is from same office location as that of the panel, wherever possible

Qualification
4 years of bachelor’s degree in computer science or equivalent
5+ years of working experience in Data Platforms and Data Engineering

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 positive communication with solid 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

📌 Sr Data Engineersi Rm 4572 Ahmedabad
🏢 Source right
📍 Ahmedabad