Senior Data Engineer (Python, PySpark, Kafka) at Bosch Group
Bengaluru, karnataka, India -
Full Time


Start Date

Immediate

Expiry Date

16 Aug, 26

Salary

0.0

Posted On

18 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, PySpark, Apache Kafka, Hadoop, HDFS, YARN, Hive, SQL, PostgreSQL, SQL Server, Data Warehousing, Dimensional Modeling, Git, GitHub

Industry

Software Development

Description
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 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. Job Description Strong proficiency in Python for data manipulation, scripting, and application development.Experience in PySpark for developing high-performance data transformation jobs on large-scale datasets.Experience with Apache Kafka for building real-time data streaming pipelines, including Kafka Connect and Kafka Streams (or similar stream processing frameworks like Flink/Spark Streaming).Understanding and hands-on experience with the Hadoop ecosystem, including HDFS, YARN, Hive, and other related technologies.Experience with SQL and relational databases (e.g., PostgreSQL, SQL Server) for data extraction and querying.Knowledge of data warehousing concepts and dimensional modeling.Familiarity with version control systems (e.g., Git, GitHub) Qualifications B.Tech, M.Tech Additional Information 6 Legal Entity: Bosch Global Software Technologies Private Limited
Responsibilities
Develop high-performance data transformation jobs and real-time data streaming pipelines. Manage data extraction and querying using SQL and relational databases within the Hadoop ecosystem.
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