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Senior Data Integration Specialist

2 weeks ago

Delhi, Delhi, India beBeeETLDeveloper Full time ₹ 15,00,000 - ₹ 25,00,000
About Us

We are a leader in providing innovative workforce solutions, dedicated to optimizing talent acquisition and management processes.

Job Summary

We seek a highly skilled ETL Developer with expertise in designing, developing, and maintaining data integration processes to support business intelligence initiatives. The ideal candidate will have proficiency in T-SQL, Azure Data Factory (ADF), and SSIS, along with excellent problem-solving and communication skills.

Key Responsibilities
  • Design, develop, and maintain data integration processes to support business intelligence initiatives.
  • Utilize T-SQL to write complex queries and stored procedures for data extraction and transformation.
  • Implement and manage data integration processes using SSIS (SQL Server Integration Services).
  • Design and model data warehouses to support reporting and analytics needs.
  • Ensure data accuracy, quality, and integrity through effective testing and validation procedures.
  • Collaborate with stakeholders to understand data requirements and deliver solutions that meet their needs.
  • Monitor and troubleshoot data integration processes to ensure optimal performance and resolve any issues promptly.
  • Document data integration processes, workflows, and data mappings to ensure clarity and maintainability.

Requirements

  • Minimum 4+ years of experience as an ETL Developer or in a similar role.
  • Proficiency in T-SQL for writing complex queries and stored procedures.
  • Experience with SSIS (SQL Server Integration Services) for developing and managing data integration processes.
  • Knowledge of ADF (Azure Data Factory) and its application in data integration processes.
  • Experience in data warehouse design and modeling.
  • Knowledge of Microsoft's Azure cloud suite, including Data Factory, Data Storage, Blob Storage, Power BI, and Power Automate.
  • Strong problem-solving and analytical skills.
  • Excellent communication and interpersonal skills.
  • Strong attention to detail and commitment to data quality.