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MB.OS-DataPlatform-DataEngineer-T9

2 months ago

Bengaluru, India Mercedes-Benz Full time
Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Cloud, Data & Connected ServicesGesellschaft:Mercedes-Benz Research and Development India Private LimitedStandort:Mercedes-Benz Research and Development India, BangaloreStartdatum:sofortVeröffentlichungsdatum:..4Stellennummer:MERQ6 Join usAufgabenExperience- Experience in building and managing data pipelines.- experience with development and operations of data pipelines in the cloud (Preferably Azure.)- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark- Deep expertise in architecting and data pipelines in cloud using cloud native technologies.- Good experience in both ETL and ELT Ingestion patterns- Hands-on experience working on large volumes of data(Petabyte scale) with distributed compute frameworks.- Good Understanding of container platforms Kubernetes and docker- Excellent knowledge and experience with object-oriented programming- Familiarity developing with RESTful API interfaces.- Experience in markup languages such as JSON and YAML- Proficient in relational database design and development- Good knowledge on Data warehousing concepts- Working experience with agile scrum methodology Technical Skills- Strong skills in distributed cloud Data analytics platforms like Databricks, HD insight, EMR cluster etc.- Strong in Programming Skills -Python/Java/R/Scala etc.- Experience with stream-processing systems: Kafka, Apache Storm, Spark-Streaming, Apache Flink, etc.- Hands-on working knowledge in cloud data lake stores like Azure Data Lake Storage.- Data pipeline orchestration with Azure Data Factory, Amazon Data Pipeline- Good Knowledge on File Formats like ORC, Parquet, Delta, Avro etc.- Good Experience in using SQL and No-SQL. databases like MySQL, Elasticsearch, MongoDB, PostgreSQL and Cassandra running huge volumes of data- Strong experience in networking and security measures- Proficiency with CI/CD automation, and specifically with DevOps build and release pipelines- Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions- Strong experience in networking and security measures- Good Data Modelling skills Job Responsibilities - Cloud Analytics, Storage, security, resiliency and governance- Building and maintaining the data architecture for data Engineering and data science projects- Extract Transform and Load data from sources Systems to data lake or Datawarehouse leveraging combination of various IaaS or SaaS components- Perform compute on huge volume of data using open-source projects like Databricks/spark or Hadoop- Define table schema and quickly adapt with the pipeline- Working with High volume unstructured and streaming datasets- Responsible to manage NoSQL Databases on Cloud (AWS, Azure etc.)- Architect solutions to migrate projects from On-premises to cloud- Research, investigate and implement newer technologies to continually evolve security capabilities- Identify valuable data sources and automate collection processes- Implement adequate networking and security measures for the data pipeline- Implement monitoring solution for the data pipeline- Support the design, and implement data engineering solutions- Maintain excellent documentation for understanding and accessing data storage- Work independently as well as in teams to deliver transformative solutions to clients- Be proactive and constantly pay attention to the scalability, performance and availability of our systems- Establishes privacy/security hierarchy and regulates access- Collaborate with engineering and product development teams- Systematic problem-solving approach with strong communication skills and a sense of ownership and driveQualifikationen- Bachelor’s degree or Masters in Computer Science or relevant streams- Any Relevant cloud data engineering certificationBenefitsMit­arbeiter­rabatte möglichGesund­heits­maß­nahmenMit­arbeiter­handy möglichEssens­zulagenBetrieb­liche Alters­ver­sorgungHybrides Arbeiten möglichMobilitäts­angeboteMit­arbeiter EventsCoachingFlexible Arbeits­zeit möglichGute An­bindungKantine, CaféBetriebs­arztMit­arbeiter­beteili­gung möglichBarriere­frei­heit

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