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Sr.Data Engineering

ESCRYPT·Salary not specified

Primary stack

PythonSQLAzureCI/CDGitHub ActionsHelmGrafanaETL

Nice to have's

SQLAzureCompliance

Job description

About the Position

Sr. Data Engineering

Bengaluru, India

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe, and the Asia Pacific region.


Responsibilities

  • Data Pipeline Development: Design, build, and optimize robust, scalable, and efficient ETL/ELT data pipelines using Python and PySpark, primarily within Azure Databricks and Azure Data Factory.
  • Data Ingestion & Processing: Develop and manage processes for ingesting data from various sources (e.g., transactional databases, APIs, streaming sources) and transforming it into clean, usable formats for downstream consumption.
  • Data Quality & Monitoring: Implement comprehensive unit and integration test coverage for data pipelines. Establish and maintain monitoring, alerting, and dashboarding solutions (e.g., Grafana) for data quality, pipeline health, and performance.
  • Cloud Infrastructure Management (OpenShift/Azure): Contribute to the setup, configuration, and maintenance of data-related infrastructure on OpenShift, ensuring deployment readiness and leveraging tools like HELM for application packaging and deployment.
  • CI/CD & Automation: Drive CI/CD best practices using GitHub Actions, ensuring automated testing (unit tests), build, and deployment processes for data solutions to environments like OpenShift.
  • SQL & Data Modeling: Develop and optimize complex SQL queries for data extraction, transformation, and loading. Apply strong data modeling principles for efficient data storage and retrieval in SQL Server and other data stores.
  • Azure Ecosystem Leverage: Utilize a broad range of Azure data and analytics services, including Azure Data Factory, Azure Databricks, Azure SQL Server, Azure Key Vault, and others to build comprehensive data solutions.
  • Performance Optimization: Proactively identify and resolve performance bottlenecks in data pipelines and databases through query optimization, indexing strategies, and efficient data processing techniques.
  • Collaboration & Documentation: Work closely with data scientists, analysts, and other engineering teams to understand data requirements. Create clear and concise documentation for data pipelines, architecture, and processes.

Requirements

  • Programming & Data Processing: Strong proficiency in Python and PySpark for large-scale data processing and ETL development.
  • Data Warehousing & SQL: Expertise in SQL for complex querying, data manipulation, and schema design. (Optional, but highly preferred): Proven experience in SQL optimization and performance tuning.
  • ETL Development: Demonstrable experience in designing, building, and maintaining robust ETL/ELT data pipelines.
  • Cloud Data Platform (Azure Focus): Hands-on experience with Azure Databricks. Proficiency with core Azure Analytics Services including Azure Data Factory, Azure SQL Server, and Azure Key Vault.
  • DevOps & CI/CD: Experience implementing CI/CD pipelines from GitHub (including GitHub Actions) for automated testing (unit tests), build, and deployment processes.
  • Containerization & Orchestration: Familiarity and practical experience with OpenShift (setup, deployment-ready configurations, and management). Experience with HELM for deploying applications on Kubernetes/OpenShift.
  • Monitoring & Observability: Experience in setting up and configuring Grafana for dashboards to monitor data quality and pipeline health.

Nice to Have

  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field.
  • Relevant Azure certifications (e.g., Azure Data Engineer Associate).
  • Experience with real-time data processing frameworks (e.g., Kafka, Azure Event Hubs).
  • Understanding of data governance, data security, and compliance best practices.

We Offer

  • Competitive salary
  • Opportunity to work in a global technology powerhouse
  • Professional growth and development opportunities

About the Company

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global suppliers of technology and services, offering end-to-end Engineering, IT, and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe, and the Asia Pacific region.

© ESCRYPT. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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