Datastage

2 days ago

Pune, Maharashtra, India Cognizant Full time ₹ 20,00,000 - ₹ 25,00,000 per year

AIA-Pune

Job Summary

We are seeking an experienced Architect with 6 to 9 years of expertise in Data Warehousing ETL and Data Integration. The ideal candidate will have strong skills in PL/SQL and IBM Infosphere Datastage. A background in Finance & Accounting is a plus. The role is hybrid with no travel required and fluency in English is essential.

Responsibilities

  • Design and implement scalable data warehousing solutions to support business intelligence needs.
  • Oversee the development and maintenance of ETL processes to ensure efficient data integration.
  • Collaborate with cross-functional teams to gather and analyze business requirements for data solutions.
  • Provide technical guidance and support to team members in the use of PL/SQL and IBM Infosphere Datastage.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Develop and maintain documentation for data architecture processes and procedures.
  • Optimize data storage and retrieval processes to enhance system performance and efficiency.
  • Monitor and troubleshoot data integration workflows to identify and resolve issues promptly.
  • Implement best practices for data security and compliance with industry standards.
  • Coordinate with stakeholders to deliver data solutions that align with business objectives.
  • Evaluate and recommend new technologies and tools to improve data management capabilities.
  • Support the finance and accounting teams by providing data insights and analytics.
  • Maintain up-to-date knowledge of industry trends and advancements in data warehousing and integration.

Qualifications

  • Possess strong experience in Data Warehousing Concepts and Scheduling Basics.
  • Demonstrate proficiency in ETL processes and Data Integration techniques.
  • Exhibit expertise in PL/SQL and IBM Infosphere Datastage.
  • Have a background in Finance & Accounting as a nice-to-have domain skill.
  • Communicate effectively in English both written and spoken.
  • Adapt to a hybrid work model with a focus on collaboration and productivity.
  • Showcase problem-solving skills and attention to detail in data management tasks.

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