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Job Description

Hello Visionary!
We empower our people to stay resilient and relevant in a constantly evolving world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.
Does that sound like you? Then it seems like you’d make a great addition to our vibrant team. 
We are looking for Data Engineer.
Before our software developers write even a single line of code, they have to understand what drives our customers. What is the environment? What is the user story based on? Implementation means – trying, testing, and improving outcomes until a final solution emerges. Knowledge means exchange – discussions with colleagues from all over the world.
Join our Digitalization Technology and Services (DTS) team based in Bangalore.
You’ll make a difference by:
•Designing and implementing robust data pipelines to ingest, transform, and load data from various sources into our data platforms.
•Automating data integration and ETL processes using tools such as Apache Airflow, Spark, or Kafka.
•Monitoring data quality, identifying and resolving data issues, and implement data governance practices.
•Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions.
•Evaluating and recommending new data technologies, tools, and architectural patterns to improve data infrastructure.
•Contributing to the development of data engineering best practices and standards across the organization.
•Mentoring and guiding junior data engineers to foster a culture of continuous learning and improvement.
Job Requirements/ Skills:
•6-9 years’ work experience in Software Engineering especially in professional software product development.
•3+ years of experience as a data engineer or in a similar data-focused role.
•Proficient in designing and implementing data pipelines using tools like Apache Spark, Airflow, Kafka, or similar.
•Hands-on experience with cloud-based data platforms such as AWS, Azure, or GCP.
•Proficiency in Python, Scala, or other data engineering programming languages.
•Familiarity with data engineering best practices, including data versioning, testing, and monitoring.
•Excellent problem-solving and analytical skills, with the ability to work independently.
•Good communication and collaboration skills, with the ability to translate technical concepts to non-technical stakeholders.
•Experience with agile software development methodologies.
Join us and be yourself!
We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us.
Protecting the environment, conserving our natural resources, fostering the health and performance of our people as well as safeguarding their working conditions are core to our social and business commitment at Siemens. They are an integral part of our Business Conduct Guidelines and our corporate strategy.
Make your mark in our exciting world at Siemens.
This role is in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries – and the craft of things to come.
We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us craft tomorrow.
At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow ‘s reality. Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds 

Job Details

Job Location
Bengaluru India
Company Industry
Other Business Support Services
Company Type
Employer (Private Sector)
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified
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