Senior Data Engineer

1 day ago

Dindigul, Tamil Nadu, India beBeeData Full time ₹ 15,00,000 - ₹ 25,00,000
Job Opportunity

Pinnacle Group Inc. is a leader in providing innovative workforce solutions, dedicated to optimizing talent acquisition and management processes.

Job Summary

We are seeking a highly skilled ETL Developer to support our data integration and business intelligence initiatives.

This role requires proficiency in T-SQL, Azure Data Factory (ADF), and SSIS, along with excellent problem-solving and communication skills.

Key Responsibilities:
  • Design and develop ETL processes to support data integration and business intelligence initiatives.
  • Utilize T-SQL to write complex queries and stored procedures for data extraction and transformation.
  • Implement and manage ETL 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 ETL processes to ensure optimal performance and resolve any issues promptly.
  • Document ETL processes, workflows, and data mappings to ensure clarity and maintainability.
  • Stay current with industry trends and best practices in ETL development, data integration, and data warehousing.
Required Skills and Qualifications
  • 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 ETL processes.
  • Knowledge of ADF (Azure Data Factory) and its application in ETL 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.
  • Bachelor's degree in Computer Science, Information Technology, or a related field is preferred.

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