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Data Engineer

Podrobnosti o osobě
481001
Zveřejněno od
10-Říj-2025
Obor
Research & Development
Stát
Siemens Healthcare Private Limited
Úroveň zkušeností
S dlouholetou praxí v oboru
Název pozice
Plný úvazek
Režim práce
Pouze na pracovišti
Druh smlouvy
Trvalý
Lokalita
  • 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.