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Siemens Healthineers
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Data Engineer

Data Engineer

Siemens Healthineers

0 - 5 years

0 Lacs

bengaluru karnataka

Posted:15 hours ago| Platform: Indeed logo

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Skills Required

data siemens research development healthcare analytics technology pipeline architecture extract processing integration normalization automate engineering statistics agile storage extraction sql etl hadoop mapreduce hive apache spark scala python relational database nosql mongodb azure monitoring debugging tuning databricks automation configuration management devops yaml test collaborative

Work Mode

On-site

Job Type

Full Time

Job Description

Job ID

481001

Posted since

10-Oct-2025

Organization

Siemens Healthineers

Field of work

Research & Development

Company

Siemens Healthcare Private Limited

Experience level

Experienced Professional

Job type

Full-time

Work mode

Office/Site only

Employment type

Permanent

Location(s)

Bangalore - Karnataka - India

We're looking for a Data Engineer to join our Center of Competence in Data Analytics & Artificial Intelligence to develop our data platform and build solutions for healthcare usecases. The right candidate will be a technology enthusiast who is passionate about solving real world challenges and is not afraid of digging deep into systems and data to develop solutions.

Responsibilities

Responsible for expanding and optimizing our data and data pipeline architecture, working together with the Data Architect and platform responsibles.
Extract value from data using pre processing techniques (transformation, integration, normalization, feature extraction).
Ingest data from (distributed) data sets.
Build applications to automate and optimize data delivery.

Qualification: Bachelors, Masters, or PhD degree in computer science, engineering, statistics or related technical/scientific field

Experience: 3-5 years experience in data engineering, with hands-on on big data platforms, infrastructure and tools. Experience working with global multi-site teams in an agile environment, is preferred.

Knowledge and Capabilities:

Experience in data storage, data extraction, preparation and exploratory data analysis.
Hands-on experience and advanced knowledge of SQL, data warehousing, ETL etc. using data frameworks and tools such as Hadoop, MapReduce, Hive, Apache Spark, Scala, Python and dataware house.
Strong understanding of databases and data storage, using specialized technologies that are optimized for the particular use of the data, such as a relational database, a NoSQL database (MongoDB etc.), Azure Storage etc.
Hadoop Cluster (execution / monitoring / debugging of Spark jobs in distributed systems). Fine-tuning of Hadoop applications such as Spark.
Experience in Azure HDInsight’s or Databricks Cluster is preferred.
Automation and Configuration Management (Azure DevOps CI / CD pipelines (yaml), Azure DevOps Test Management)
Experience with different file formats (e.g. parquet, avro, ...).
Cloud based solutions and technologies (Microsoft Azure preferred).
Strong attention to detail.
Comfortable working in a fast paced, highly collaborative, dynamic work environment.
Ability to think creatively and solve problems.

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Data Engineer