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BCAI - Senior Data Engineer

3.00 to 4.00 Years   Bangalore   22 Dec, 2021
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryManufacturing
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

Job DescriptionJob DescriptionBosch is at the forefront of innovation in the connected world and is impacting millions of lives every day through its products in mobility, industrial technology, consumer goods and energy and smart building sectors. We rely on data for every aspect of our product lifecycle and operations and we collect a lot of it every day. Our team is responsible for enabling a wide variety of Bosch product teams to make use of advancements in AI through centralized services that involve streaming data from connected services to building and deploying state-of-art AI solutions. You will be part of a global team to make this happen!We are looking for a talented professional who is passionate about building fault-tolerant data services and analytics tools targeted towards cutting-edge applications. Your work will be used by hundreds of Bosch engineers and will have global impact by improving the quality and value of Bosch products.Requirement:

  • Hands-on experience with building Python/Java/Scala based data pipelines. Advanced knowledge of at least one programming language and should be willing to learn more. Experience with developing Airflow jobs would be a plus.
  • Hands-on experience with building batch and streaming data pipelines using distributed systems like Hadoop, Hive, Spark, Kafka, Sqoop, etc.
  • Hands-on experience with SQL, NoSQL and Document based data storage systems like Oracle, MySQL, Postgres, Teradata, MongoDB, Cassandra, Elasticsearch, Solr, etc.
  • Should have the experience and ability to understand customer data in depth and make best possible choices with respect to data structures, storage, file format, processing stack, etc.
  • Experience with designing and building robust, highly scalable and highly available data pipelines.
  • Experience with setting up and maintaining CI/CD pipeline for data integration jobs using Jenkins will be a plus.
  • Experience with building or migrating data pipelines to cloud (AWS/Azure) infrastructure will be a plus.
  • Experience building data pipelines using Azure Data Factory, Containers, Databricks, Synapse DB, AKS, Azure DevOps.
  • Azure Solutions Architect certification would be highly valuable.
Responsibilities:
  • Design, build and maintain efficient, reusable, reliable and scalable code and automation for Machine Learning Infrastructure on Azure Cloud as well as on on-perm infrastructure.
  • You would be working on developing and maintaining robust data extraction/ingestion frameworks, feature extraction pipelines and storage solutions.
  • Build and maintain CI/CD pipeline for code being developed and constantly work towards improving the release pipeline.
  • Actively participate in design and code reviews.
  • Identify bottlenecks and bugs in design and code and device solutions to ensure the best possible performance, quality and responsiveness of the pipelines being developed.
  • Collaborate with global and cross-functional teams to build, improve and maintain the best AI and ML platform for BOSCH.
  • Take accountability and ownership of Data Engineering and Platform Engineering projects and become the subject matter expert of end-to-end process.
  • Constantly research and be cognizant of latest emerging technologies in Data Engineering and Machine Learning.
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Keyskills :
content managementemailsqlanalyticsapachesource system analysisdata servicescustomer dataconsumer goodsdata structuresstorage systemsmachine learningdata integration

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