Job Description
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
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.
- 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
Job Details
| Role Level: | Not Applicable | Work Type: | Full-Time |
|---|---|---|---|
| Country: | India | City: | Ahmedabad ,Gujarat |
| Company Website: | https://source-right.com | Job Function: | Data Science & AI |
| Company Industry/ Sector: |
IT Services and IT Consulting | ||
What We Offer
About the Company
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