Dataops Engineer Pune

Year    MH, IN, India

Job Description

Group presentation



With customers in over 100 countries served by more than 50,000 employees, TK Elevator achieved sales of EUR9.3 billion in fiscal year 2023/2024. We ensure high levels of customer service globally from our extensive network of about 1,000 locations. Over the past several decades, TK Elevator has established itself as one of the world's leading elevator companies and became independent after separation from the thyssenkrupp group in August 2020. The company's most important business line is the service business proudly provided by around 25,000 service technicians. The product portfolio ranges from standardized elevators for low-rise residential buildings to highly customized solutions for skyscrapers. In addition, it covers escalators, moving walks, passenger boarding bridges and stair and platform lifts. Integrated cloud-based solutions, such as the MAX platform, are delivering enhanced services. With these digital offerings, there are no longer any limits to urban mobility. TKE - move beyond.

What we expect

Data Engineering & Pipeline Management




Design, manage, monitor, and maintain data pipelines and ETL processes using PySpark, Azure DataBricks, SQL Server Studio and Azure Data Factory. Ensure data flows are reliable, scalable, and optimized for performance. Validate data processes through automated testing and monitoring.

Continuous Integration, Deployment & Reliability




Perform deployments using CI/CD pipelines in Azure DevOps, aligned with team practices. Ensure continuous availability, reliability, and scalability of connected systems. Support performance, uptime, disaster recovery, and capacity growth.

Operational Support & Collaboration




Serve as Level 3 support for digital applications, collaborating with Level 2 users to resolve escalated incidents. Apply high-level technical mitigation and provide initial technical findings, helping to identify product gaps and improvements. Work closely with cross-functional, international teams to deliver innovative solutions. Actively participate in the global DevOps community.


Who we are looking for



Bachelor's degree in Computer Engineering or other technical engineering fields related to coding is valued. 5+ years of experience in data engineering or software development, with a focus on cloud-based data solutions. Strong hands-on experience with PySpark, Azure DataBricks, SQL Server Studio and Azure Data Factory. Deep understanding of ETL pipelines and data processing workflows. Experience with large, complex, and highly scalable systems. Expertise in automated testing and monitoring of data pipelines. Strong analytical and problem-solving skills. Effective communication skills for working with developers, product owners, testers, and designers. Experience with DevOps tools (Azure DevOps preferred). Nice to have experience in .NET development. Experience with version control systems (GIT). Experience with CI/CD pipelines is a plus. Experience with Agile methodology is a plus. Fluent in English.


Contact



To apply please send your CV to HR@tkelevator.com



In case you would like to pursue this opportunity share with us the below details


Current Annual CTC : Fixed and Variable Expected CTC : Total Years of Experience: Notice Period: Reason for change: Permanent address: Local address:


What we offer

Health and Safety

- Highest standards and a wide range of health promotion and healthcare activities


Compensation -

Fair working conditions and competitive compensation


Collaboration and Diversity

- Collegiality is of huge importance we treat everyone with respect and appreciation

Additional information

Work Location Address





Parkar Consulting & Labs, 5th Floor, C wing, Manikchand Ikon, Bund Garden, B S Dhole Patil Path, Wadia College, Sangamvadi, District Pune, Maharashtra-411001



Job Reference: JPT_ALL01496

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Job Detail

  • Job Id
    JD4880298
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    MH, IN, India
  • Education
    Not mentioned
  • Experience
    Year