Senior Data Integration Specialist

3 days ago

Jaipur, Rajasthan, India beBeeETLEmployment Full time ₹ 80,00,000 - ₹ 1,20,00,000
About Us

We are seeking a seasoned ETL Developer to spearhead our data integration and business intelligence initiatives. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes, as well as data warehouse design and modeling.

This role requires proficiency in T-SQL, Azure Data Factory (ADF), and SSIS, along with excellent problem-solving and analytical skills. Additionally, the successful candidate will have strong attention to detail and a commitment to delivering high-quality results.

Key Responsibilities:
  • Data Integration: Design, develop, and maintain ETL processes to support data integration and business intelligence initiatives.
  • T-SQL Expertise: Utilize T-SQL to write complex queries and stored procedures for data extraction and transformation.
  • SSIS Development: Implement and manage ETL processes using SSIS (SQL Server Integration Services).
  • Data Warehouse Design: Design and model data warehouses to support reporting and analytics needs.
  • Quality Assurance: Ensure data accuracy, quality, and integrity through effective testing and validation procedures.
  • Collaboration: Collaborate with business analysts and stakeholders to understand data requirements and deliver solutions that meet their needs.
Requirements:
  • Experience: Minimum 4+ years of experience as an ETL Developer or in a similar role.
  • T-SQL Proficiency: Proficiency in T-SQL for writing complex queries and stored procedures.
  • SSIS Experience: Experience with SSIS (SQL Server Integration Services) for developing and managing ETL processes.
  • ADF Knowledge: Knowledge of ADF (Azure Data Factory) and its application in ETL processes.
  • Data Warehouse Expertise: Experience in data warehouse design and modeling.
  • Azure Cloud Suite: Knowledge of Microsoft's Azure cloud suite, including Data Factory, Data Storage, Blob Storage, Power BI, and Power Automate.
  • Problem-Solving Skills: Strong problem-solving and analytical skills.
  • Communication Skills: Excellent communication and interpersonal skills.
  • Attention to Detail: Strong attention to detail and commitment to data quality.
  • Education: Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

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