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Senior Engineer, Data Engineering

Landis+Gyr is a leading global provider of integrated energy management solutions. We measure and analyze energy utilization to generate empowering analytics for smart grid and infrastructure management, enabling utilities and consumers to reduce energy consumption. Our innovative and proven portfolio of software, services and intelligent sensor technology is a key driver to decarbonize the grid. With sales of USD 1.7 billion in FY 2022, Landis+Gyr employs over 7,000 talented people across 30 countries and five continents.

For more than a century, we've been pioneers in energy innovation, and we continue to lead the way toward a more sustainable and efficient energy landscape.

Join us at Landis+Gyr, where we manage energy better - since 1896.


We are looking for a Data Engineer with experience in cloud and engineering platform solutions, preferably Google Cloud Platform. We are looking for an experienced data engineer who can apply the latest in data engineering to help our utility clients realize the potential of big data and artificial intelligence.

Location: Noida

Exp: 5+ years

In partnership with multiple stakeholders, you will focus on developing and delivering leading edge data analytics solutions using Google Cloud and, as a member of our engineering practice, you will:

  • Act as a subject matter expert in data engineering and Google Cloud data technologies
  • Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from Google Cloud
  • Work with Agile and DevOps techniques and implementation approaches in the delivery
  • Be required to showcase your Data Engineering experience when communicating with clients on their requirements, turning these into technical data solutions
  • Be required to build and deliver Data solutions using Google Cloud products and offerings
  • Liaise and be part of our Google Cloud practice, contributing in the knowledge exchange learning programme of the platform

Expectations for Skills & Experience:

  • Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataform, AI Building Blocks, Looker, etc.)
  • Experience in MDM, Metadata Management, Data Quality and Data Lineage tools
  • E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management
  • E2E Solution Design skills - Prototyping, Usability testing and data visualization literacy.
  • Experience with modern cloud data warehouses such as BigQuery.


As a part of the Landis+Gyr family, employees are offered a comprehensive and competitive package of benefits including medical, dental and vision coverage, life insurance, and a 401(k)-retirement plan featuring a generous company match incentive.  Additionally, we offer three (3) weeks of Paid Time Off (PTO) as well as eleven (11) paid holidays.  We also offer a tuition reimbursement program, optional pet insurance, supplemental medical coverage and a host of other perks to ensure the health, wellness, and enrichment of our team members. 

Pay is in the range of XY per year. The position is eligible for a 401(k) match and consideration for an annual bonus. The actual base salary offered depends on a variety of factors, which may include, as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, and certifications or other professional licenses held.  All candidates are encouraged to apply. 

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 


We're committed to shaping a better future for everyone. #EnergizeYourCareer and join us on our journey towards a greener tomorrow.

Job Title:  Senior Engineer, Data Engineering

Requisition ID:  19230

Noida, UP, IN

Workplace Type:  Hybrid
Career Level:  Experienced
Date Posted:  Jun 5, 2024

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