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Hybrid EHM_JD_Data_Engineer_4+ na Bosch Group

Bosch Group · Coimbatore, Índia · Hybrid

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Company Description:

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ 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.

Job Description:

Responsibilities:

  • Responsible and self-driven work in the field of data engineering.
  • Design, develop, and maintain data pipelines and ETL processes to ingest, process, transform and store large volumes of data from diverse sources.
  • Collaborate with the business stakeholders to understand their data requirements and provide data-driven solutions and insights for decision making.
  • Optimize and tune data pipelines and database performance for scalability, efficiency, and reliability.
  • Implement and maintain data warehouses, data lakes, and other data storage solutions for efficient data retrieval and analysis.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Create data visualizations and reports to communicate findings effectively to technical and non-technical audiences.
  • Stay updated with the latest data engineering, tools, and best practices.
  • Interest in Data (Analysis, Schema, Validation, Visualization)
  • Should be able to handle both big data and small data.

 

Required Skills:

  • Proven experience as a Data Engineer, showcasing expertise in both domains.
  • Proficiency in programming languages such as Python with proper coding standards.
  • Strong knowledge in PySpark, IMPALA, HIVE & Tableau.
  • Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL, etc.).
  • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
  • Knowledge of data modeling, data warehousing, and data architecture.
  • Experience with big data processing frameworks (e.g., Hadoop, Spark).
  • In-depth knowledge of orchestration and scheduling jobs for data engineering pipelines with Apache Airflow.
  • Experience with Cloud-based data solutions (e.g., AWS, Azure, GCP) is advantageous.
  • Experience with JIRA, GIT & Bitbucket.
  • Excellent problem-solving and analytical skills.
  • Strong communication and presentation skills.
  • Ability to work independently and collaboratively in a team environment.

 

Qualifications

Bachelor’s or Master’s degree in Computer Science or a related field.

Qualifications:

Bachelor’s or Master’s degree in Computer Science or a related field

Additional Information:

4+

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