Job Description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.

Qualifications

  • Bachelors/Masters Degree in Computer Science, Mathematics or Science.
  • Experience withe ETL development and coding including validation complex data mappings.
  • Experience with ETL Tool Talend minimum 5 years.
  • Experience in at least 8 years of SQL to have ability to write sql queries for data validation.
  • Experience with databases like SQL SERVER, Hive, Redshift or Snowflake
  • Excellent oral and written communication skills.
  • Experience with Cloud warehouse like Redshift, Snowflake will be great.

Nice to have

  • Experience in business intelligence tools like Tableau, Power BI would be helpful.
  • Data Analytics experience.
  • Ability/experience to lead and manage a team.
  • Experience working in Agile Scrum environment.

What You Will Do:

You will be working with Customer Experience team to build and enhance the warehouse of operational data in order to drive analytics.

You will be building ETL/data pipelines using ETL tools and SQL to aid the warehouse enhancement and may occasionally be involved to build analytics on the warehouse data.

You will have plenty of opportunity to grow by learning new tools and be part of a driven team.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

WD00078961 https://lenovo.avature.net/en_US/careers/JobDetail?jobId=65683

What You Will Do:

You will be working with Customer Experience team to build and enhance the warehouse of operational data in order to drive analytics.

You will be building ETL/data pipelines using ETL tools and SQL to aid the warehouse enhancement and may occasionally be involved to build analytics on the warehouse data.

You will have plenty of opportunity to grow by learning new tools and be part of a driven team.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

WD00078961 https://lenovo.avature.net/en_US/careers/JobDetail?jobId=65683

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Bangalore Urban ,Karnataka
Company Website: http://www.lenovo.com Job Function: Information Technology (IT)
Company Industry/
Sector:
IT Services and IT Consulting

What We Offer


About the Company

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