Data Engineer

@ Bosch Group

Company Overview

Bosch Global Software Technologies Private Limited, a 100% owned subsidiary of Robert Bosch GmbH, is a global leader in technology and services. With over 28,200+ associates, it is the largest software development center of Bosch outside Germany, serving the US, Europe, and Asia Pacific.

Role Overview

As part of the AI Factory, the Data Engineer designs, builds, and maintains the data foundation for AI/ML models and analytics. The role focuses on ingesting, transforming, and optimizing data from multiple HR and enterprise systems while ensuring compliance and readiness for AI-driven use cases.

Responsibilities

• Design and implement data pipelines for structured and unstructured data.
• Build and manage data lakes, warehouses, and marts.
• Optimize data quality through validation, cleansing, and transformation.
• Collaborate with Business Analysts and AI/ML Engineers to meet data requirements.
• Implement data governance practices in compliance with GDPR, CCPA, and AI regulations.
• Integrate real-time and batch processing solutions with automation using CI/CD pipelines.
• Monitor and troubleshoot data pipelines, documenting models and workflows.
• Stay updated on emerging trends in data engineering and cloud platforms.

Qualifications

A Bachelor’s or Master’s in Computer Science, Data Engineering, Information Systems, or related field is required. Certifications in cloud data engineering (AWS, Azure, or GCP) are a plus.

Experience required: 5-8 years overall, with at least 3 years focusing on data pipelines, cloud data platforms, and handling large-scale datasets.

Technical Skills

• Expert in Python and SQL.
• Proficient with Apache Spark, PySpark, or Flink.
• Experience with AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse) or GCP (BigQuery, Dataflow).
• Hands-on with ETL/ELT tools such as dbt, Apache Airflow, Talend, or Informatica.
• Knowledge in dimensional data modeling and schema designs like star/snowflake.
• Experience in integrating APIs and streaming data sources.

Preferred Skills

• Experience with HR data platforms (SAP SuccessFactors, Workday, Oracle HCM).
• Familiarity with MLOps data preparation workflows and data versioning tools.
• Knowledge of vector databases, data cataloging and metadata management.

Key skills/competency

Data Pipelines, Data Lakes, Python, SQL, Apache Spark, Cloud, ETL, GDPR, AI/ML, Compliance