Data Engineer – Sales Job Vacancy in Mercedes-Benz Research and Development India Private Limited Bengaluru, Karnataka – Updated today
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Company Name : Mercedes-Benz Research and Development India Private Limited
Location : Bengaluru, Karnataka
Position :
Job Description : Aufgaben
Work with Business & IT teams to gather, understand and define requirements and break down Demands into EPICS and User Stories, where needed.Design and build end-to-end CI/CD data pipelines to get the relevant data and for the deliverablesReviewing design, code and other deliverables created by your team to guarantee high-quality resultsDefine acceptance criteria, manage & perform testing of own pipelines to ensure expected qualityOwn the status of Change requirements throughout the lifecycle & adapt changes to the existing scripts, codes and pipelines.Own PoCs and deliver the results in reasonable timeEnsuring appropriate use of MB IT project management tools, governance, processes, policies and methodologiesShare required data for regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in viewBring value adds by contributing to continuous improvement and innovation, encourage best practices, challenge current practices, provide feedback to colleaguesPresents user stories in demand concept meetings together with respective stakeholdersAlign with architects if and as neededDetect dependencies to other systems/demandsConduct regular status meetings with all stakeholders, keeping the stakeholders needs and requirements continuously in viewCreate / Propose Demand Management baselines as and when required.
Qualifikationen
Total 8-10 Years of Experience with minimum 4 years of experience in data engineering & analytics.Bachelor’s Degree in computer science or equivalentExpertise in Azure and Azure Data Factory, Storage accounts and NotebooksGood experience with DWH, ETL/ELT process, hands-on expertise ETL tools, relational DB or MPPExpertise in Python, structured query language, PL/SQL, query tuning and performance tuningGood knowledge in DevOps, CI/CD including deploying a range of data engineering pipelines into production, and testing techniquesExpertise in Big Data technologies such as Apache Spark, Hadoop ecosystem, Apache Kafka, NoSQL databases, etc.Good knowledge of data architecture patterns (Data lakehouse, delta lake, streaming, Lambda/Kappa architecture)Agile development experienceExperienced in Powershell scripting for orchestration
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