
Transformation Expert
3 days ago
Data Integration Specialist
">Job Description:About Company:
The company is a global digital solutions and technology consulting firm with operations in over 40 countries.
It serves a global client base of over 700 organizations across various major industry sectors including BFSI, Technology, Media & Telecommunications, Healthcare & Life Sciences, and Manufacturing & Consumer.
The company achieved a net profit of $553.4 million and recorded a strong order inflow of $5.6 billion in the past year.
Key Responsibilities:
- Design, develop, and maintain ETL pipelines using Azure Data Factory.
- Write complex SQL queries, stored procedures, and performance-tuned scripts for data transformation and validation.
- Integrate data from various sources including Azure Blob Storage, SQL Server, REST APIs, and on-premise systems.
- Monitor and troubleshoot data pipelines and workflows to ensure data quality and reliability.
- Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
- Implement data governance, security, and compliance best practices.
- Participate in code reviews, CI/CD processes, and agile ceremonies.
Required Skills & Qualifications:
- Strong hands-on experience with Azure Data Factory (pipelines, triggers, linked services, datasets).
- Proficiency in T-SQL and SQL Server (SSMS, stored procedures, indexing, optimization).
- Experience with Azure SQL Database, Azure Synapse Analytics, or Data Lake.
- Familiarity with parameterization, dynamic content, and data flows in ADF.
- Understanding of data warehousing concepts, ETL best practices, and data modeling.
- Experience with Git, Azure DevOps, or other version control systems.
Preferred Qualifications:
- Microsoft Certified: Azure Data Engineer Associate or equivalent.
- Experience with Power BI, Databricks, or Logic Apps is a plus.
- Knowledge of Python or PowerShell for automation.
Work Environment:
PAN India location with contract-to-hire opportunity.
Immediate joiners are welcome.
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