Big Data Consultant

at  Infosys

ABOUT US:

Infosys is a global leader in consulting, technology, outsourcing and next-generation services. We enable clients, in more than 50 countries, to stay a step ahead of emerging business trends and outperform the competition. We help them transform and thrive in a changing world by co-creating breakthrough solutions that combine strategic insights and execution excellence.
Visit www.infosys.com to see how Infosys (NYSE: INFY), with US$ 8.7 billion in annual revenues and 187,000+ employees, is helping enterprises renew themselves while also creating new avenues to generate value.

POSITION OVERVIEW:

As Data testing Delivery anchor at onsite, role will be responsible for manage and handle data testing strategies and solutions for 80+ team members. The role will involve handling multiple applications and releases for end-to-end data testing of ETL/DW/BIG Data & Cloud migration projects. Actively engaging with customers and stakeholders to drive project releases, technical discussions and provide regular reporting.

Key Responsibilities:

• 15+ years of experience in manage and handle application releases in data program areas ( continuously run 80 to 100 applications in quarter)
• Develop and execute robust Data testing strategies and solutions tailored to specific project needs.
• Conduct customer and stakeholder meetings, driving technical discussions and ensuring effective coordination.
• Involve and provide effort estimations, staffing plan and resource requirements with different project teams
• Drive and manage RFPs and proactive proposal for identify Data testing Opportunities.
• Gather data testing compliance requirements and translate them into actionable data testing approaches.
• Collaborate with stakeholders to identify and track key performance indicators related to data quality and testing.

KEY SKILLS AND COMPETENCIES:

• Strong experience in handling BIG Data and cloud migration projects.
• Expertise in data migration testing and ETL testing techniques.
• Experience in managing test scenario and requirement gathering processes, as well as estimating for the same
• Familiarity with data quality assessment, and KPI tracking.
• Hands-on experience with database technologies such as DB2, Oracle, and MS SQL for enterprise applications.
• Proficiency in scheduling tools like Control-M, ESP.
• Prior experience with Data testing tools like Informatica etc
• Proficiency in stakeholder and program management.
• Strong capability in devising and implementing data testing strategies and solutions.
• Experience in pre-sales and proposal works to create additional business in data testing areas.
  Infosys is an equal opportunity employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender or other attribute covered by equal opportunity legislation.
  Please note in order to protect the interest of all parties involved in the recruitment process, Infosys does not accept any unsolicited resumes from third party vendors. In the absence of a signed agreement any submission will be deemed as non-binding and Infosys explicitly reserves the right to pursue and hire the submitted profile. All recruitment activity must be coordinated through the Talent Acquisition department.
  EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity

• 15+ years of experience in manage and handle application releases in data program areas ( continuously run 80 to 100 applications in quarter)
• Develop and execute robust Data testing strategies and solutions tailored to specific project needs.
• Conduct customer and stakeholder meetings, driving technical discussions and ensuring effective coordination.
• Involve and provide effort estimations, staffing plan and resource requirements with different project teams
• Drive and manage RFPs and proactive proposal for identify Data testing Opportunities.
• Gather data testing compliance requirements and translate them into actionable data testing approaches.
• Collaborate with stakeholders to identify and track key performance indicators related to data quality and testing