Data Analytics

Pune, India

Segula Technologies

Welcome to the corporate website of the SEGULA Technologies Group, a world leader in engineering services for major industrial players in the automotive, health and aeronautics sectors.

View all jobs at Segula Technologies

Apply now Apply later

Company Description

At SEGULA Technologies you will have the opportunity to work on exciting projects and help shaping the future within an engineering company which is at the heart of innovation. From 3D printing, augmented reality, connected vehicle to the factory of the future – new technologies are part of our 10,000 ingenious collaborators’ day-to-day life. Would you like to join in?

SEGULA Technologies is always looking for new, ingenious, and daring talents worldwide to support all the major industrial actors within the automotive, aeronautics, energy, railway, naval, oil & gas and pharmaceutical sectors.

For more information: https://www.segulatechnologies.com

Job Description

        • Ready to work in US shift timing.
        • Experience range 1-3 years
        • NP : Immediate
        • Work within engineering and cross functional organization to create dashboards for customer usage
        • Develop pipeline of connect vehicle data to dashboards
        • Familiar with Analytics platforms such as DataBrick, Palantir Foundry and Snowflake
        • Expert level in Phython programming for Pipeline development/data transformation
        • Knowledge of PySpark/JavaScrip programming a plus
        • Proficient w/PowerBI for dashboarding
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  3  1  0
Category: Analyst Jobs

Tags: Data Analytics Engineering Industrial Pharma Power BI PySpark Snowflake

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.