Job
Description
We empower our people to stay resilient and relevant in a constantly changing world. We are looking for individuals who are always seeking creative ways to grow and learn, individuals who aspire to make a real impact, both now and in the future. If this resonates with you, then you would be a valuable addition to our dynamic international team. We are currently seeking a Senior Software Engineer - Data Engineer (AI Solutions). In this role, you will have the opportunity to: - Design, build, and maintain data pipelines to cater to the requirements of various stakeholders, including software developers, data scientists, analysts, and business teams. - Ensure that the 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 uphold data quality and lineage. - Optimize data infrastructure for scalability, cost-efficiency, and observability in cloud-based environments. - Ensure adherence to governance policies and data access controls across projects. To excel in this role, you should possess the following qualifications and skills: - A Bachelor's degree in Computer Science, Information Systems, or a related field. - Minimum of 4 years of experience in designing and deploying scalable data pipelines in cloud environments. - Proficiency in Python, SQL, and data manipulation tools and frameworks such as Apache Airflow, Spark, dbt, and 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 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 support AI/ML pipelines, including feature stores and real-time data ingestion. - Understanding of observability, data versioning, and pipeline testing tools. - Previous engagement with diverse stakeholders, data requirement gathering, and support for iterative development cycles. - Background or familiarity with the Power, Energy, or Electrification sector is advantageous. - Knowledge of security best practices and data compliance policies for enterprise-grade systems. This position is based in Bangalore, offering you the opportunity to collaborate with teams that impact entire cities, countries, and shape the future. Siemens is a global organization comprising over 312,000 individuals across more than 200 countries. We are committed to equality and encourage applications from diverse backgrounds that mirror the communities we serve. Employment decisions at Siemens are made based on qualifications, merit, and business requirements. Join us with your curiosity and creativity to help shape a better tomorrow. Learn more about Siemens careers at: www.siemens.com/careers Discover the Digital world of Siemens here: www.siemens.com/careers/digitalminds,
