Datastage - Senior Associate

14 hours ago

Pune, Maharashtra, India Cognizant Technology Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Job Summary

We are looking for an experienced professional with 6 to 9 years of experience in DataStage & Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL. The ideal candidate will work in a hybrid model during the day shift and should possess strong English language skills. Experience in the Finance & Accounting domain is a plus.

Responsibilities

  • Candidate should have good experience in DataStage development and exposure from requirements gathering to deployment and warranty support.
  • Should be able to debug issues and trouble shoot.
  • Candidate should have understanding of code management repositories like GIT/SVN
  • Strong Experience in SQL- writing optimal queries, indexes, partitions and SQL performance tuning.
  • Good analytical and problem solving capability to find a solution in critical situation.
  • Should be able to work with and drive teams in different locations and should be able to communicate with stakeholders and manage expectations and deliveries.
  • Candidate should also be ready to perform as an individual contributor if needed.
  • Candidate should have experience of Agile methodology using scrum and should have understanding of various agile meetings.
  • Results oriented, determined, team-lead and having a self-driven and can-do attitude
  • Stay updated with the latest trends and technologies in data warehousing and ETL.
  • Contribute to the continuous improvement of data warehousing methodologies and practices.

Qualifications

  • Possess strong experience in Data Warehousing Concepts Scheduling Basics ETL Data Integration PL/SQL and IBM Infosphere DataStage.
  • Have excellent problem-solving and analytical skills.
  • Demonstrate proficiency in English (Read/Write Speak).
  • Experience in the Finance & Accounting domain is a plus.
  • Exhibit strong communication and collaboration skills.
  • Show ability to work effectively in a hybrid work model.
  • Display commitment to data security and compliance.

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