Fresenius Medical Care

Senior Data Engineer

Fresenius Medical Care
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2 months ago
Bengaluru, IndiaSenior

Responsibilities

  • Design, build, optimize, and maintain scalable batch and streaming data pipelines.
  • Develop ETL/ELT workflows, data transformations, orchestration, and analytics-focused data models using Databricks, Apache Spark, SQL, and Python.
  • Implement multi-cloud and hybrid data architectures using AWS, Azure, S3, and ADLS Gen2.
  • Design and support Snowflake data warehouses, including schema design, performance tuning, and cost management.
  • Prepare and engineer features for SageMaker and Amazon Bedrock workloads and collaborate with data scientists to operationalize machine learning models.
  • Implement data quality checks, monitoring, validation, lineage, metadata management, access controls, and other governance practices.
  • Automate deployments, monitoring, logging, and alerting using CI/CD and infrastructure-as-code tools.
  • Collaborate with product owners, architects, analytics teams, business stakeholders, and data scientists to translate requirements into technical solutions.
  • Contribute to documentation, standards, best practices, and on-call or support rotations.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
  • At least 5 years of experience in data engineering or related roles.
  • At least 3 years of hands-on experience with cloud data platforms such as AWS and/or Azure.
  • Strong experience with Python and SQL.
  • Hands-on experience with Databricks and Apache Spark.
  • Experience building solutions on AWS and/or Azure and working with Snowflake data warehouses.
  • Experience supporting machine learning or AI workloads using SageMaker, Amazon Bedrock, or equivalent services.
  • Knowledge of data integration tools, APIs, message and streaming platforms, data modeling, and analytics use cases.
  • Familiarity with DevOps concepts, CI/CD, and infrastructure-as-code.
  • Experience supporting enterprise-scale data, analytics, and AI solutions.
  • Preferred qualifications include cloud certifications, regulated-industry experience, real-time or streaming architecture experience, and familiarity with data governance, metadata, and privacy frameworks.
  • Strong problem-solving, analytical, communication, collaboration, and attention-to-detail skills.

Tech Stack

Categories

Data Engineering
Fresenius Medical Care

About Fresenius Medical Care

10,000+ employees

Fresenius Medical Care develops and sells dialysis machines, dialyzers, and related disposables, and operates in-center and home dialysis clinics for people with chronic kidney disease. Its business combines product sales to healthcare providers with dialysis services reimbursed by insurers and health systems. Founded in 1996 and headquartered in Bad Homburg, Germany, the company is publicly traded in Frankfurt and serves patients and providers worldwide.

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