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Sr. Data Integration Engineer (IBM DataStage & SQLServer)

Artmac
Parsippany, NJ Full Time
POSTED ON 1/21/2025
AVAILABLE BEFORE 3/18/2025
Who We Are

Artmac Soft is a technology consulting and service-oriented IT company dedicated to providing innovative technology solutions and services to Customers.

Job Description

Job Title : Sr. Data Integration Engineer (IBM DataStage & SQLServer)

Job Type : W2

Experience : 8-15 Years

Location : Parsippany, New Jersey

Responsibilities

  • Experience in designing and implementing ETL processes using IBM DataStage (version 11.7 preferred).
  • Strong proficiency in SQL Server 2016, including T-SQL, stored procedures, and query optimization.
  • Hands-on experience with data integration, data transformation, and data loading.
  • Knowledge of data warehousing concepts and methodologies.
  • Ability to troubleshoot complex ETL and data-related issues effectively.
  • Excellent communication and collaboration skills, with the ability to work across technical and business teams.
  • Experience in performance tuning and optimizing ETL jobs and SQL queries.
  • Design, develop, and maintain ETL (Extract, Transform, Load) processes using IBM DataStage 11.7.
  • Create, optimize, and maintain SQL Server 2016 queries, stored procedures, and database structures.
  • Collaborate with business analysts, data architects, and stakeholders to gather requirements and deliver data solutions.
  • Ensure the accuracy, reliability, and performance of ETL processes and data pipelines.
  • Troubleshoot and resolve data integration issues and bottlenecks.
  • Perform data quality assessments, identify inconsistencies, and take corrective actions.
  • Participate in performance tuning and optimization of ETL jobs and SQL queries.
  • Ensure compliance with data governance standards, best practices, and security policies.
  • Document technical specifications, workflows, and processes for future reference.
  • Stay updated on new technologies and trends to continually improve ETL processes and data management practices.

Qualification

  • Bachelor's degree or equivalent combination of education and experience

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