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Data Engineer AI Solutions @ Siemens

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 Data Engineer AI Solutions

Job Description

 Dear Aspirant!   We empower our people to stay resilient and relevant in a constantly changing 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 international team.  We are looking for   Senior Software Engineer " Data Engineer (AI Solutions)   ,      You'll make an impact by 
  • Design, build, and maintain data pipelines that serve the needs of multiple stakeholders including software developers, data scientists, analysts, and business teams.
  • Ensure data pipelines are modular, resilient, and optimized for performance and low maintenance.
  • Collaborate with AI/ML teams to support training, inference, and monitoring needs through structured data delivery.
  • Implement ETL/ELT workflows for structured, semi-structured, and unstructured data using cloud-native tools.
  • Work with large-scale data lakes, streaming platforms, and batch processing systems to ingest and transform data.
  • Establish robust data validation, logging, and monitoring strategies to maintain data quality and lineage.
  • Optimize data infrastructure for scalability, cost- efficiency, and observability in cloud-based environments.
  • Ensure compliance with governance policies and data access controls across projects.

    •  Use your skills to move the world forward!  
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 4+ years of experience designing and deploying scalable data pipelines in cloud environments.
  • Proficiency in Python, SQL, and data manipulation tools and frameworks (e.g., Apache Airflow, Spark, dbt, Pandas).
  • Practical experience with data lakes, data warehouses (e.g., Redshift, Snowflake, BigQuery), and streaming platforms (e.g., Kafka, Kinesis).
  • Strong understanding of data modeling, schema design, and data transformation patterns.
  • Experience working with AWS (Glue, S3, Redshift, Sagemaker) or Azure (Data Factory, Azure ML Studio, Azure Storage).
  • Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform,
  • CloudFormation).
  • Exposure to building data solutions that serve AI/ML pipelines, including feature stores and real-time data ingestion.
  • Familiarity with observability, data versioning, and pipeline testing tools.
  • Experience engaging with diverse stakeholders, gathering data requirements, and supporting iterative development cycles.
  • Background or familiarity with the Power, Energy, or Electrification sector is a strong plus.
  • Knowledge of security best practices and data compliance policies for enterprise-grade systems.

    •  Create a better #TomorrowWithUs!   This role is based in Bangalore, where you'll get the chance to work with teams impacting entire cities, countries - and the shape of things to come. We're Siemens. A collection of over 312,000 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 imagination and help us shape tomorrow.  Find out more about Siemens careers at www.siemens.com/careers  
     Find out more about the Digital world of Siemens here   www.siemens.com/careers/digitalminds    

    Job Classification

    Industry: IT Services & Consulting
    Functional Area / Department: Engineering - Software & QA,
    Role Category: Software Development
    Role: Data Engineer
    Employement Type: Full time

    Contact Details:

    Company: Siemens
    Location(s): Bengaluru

    + View Contact

    Keyskills:   python data manipulation sql data modeling data transformation continuous integration snowflake glue amazon redshift airflow microsoft azure ci/cd datafactory aws cloudformation kinesis database design pandas spark kafka terraform bigquery aws ml

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    Siemens

    Siemens Limited Siemens Information Systems Ltd. (SISL) was incorporated in 1992. It has grown on to become a leading system integrator and total solution provider to a host of Global Clientele and its business has grown over 100% in the last three years through consistently delivering higher va...

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