Big Data Engineering Architect: Diversity Hiring – Women Candidates Only

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Job title: Big Data Engineering Architect: Diversity Hiring – Women Candidates Only

Company: Mercedes-Benz

Job description: End-to-end development of Data Engineering platform. Work with the team to deliver solutions on the Azure Cloud using core cloud data engineering tech stack (Pyspark, Python, Scala, Data bricks)

Triumph 2.0 Virtual Career Fair: Mercedes Benz is hiring for Big Data Engineering Architect through Triumph 2.0 – India’s largest Diversity & Inclusion Career Fair, 23rd August to 26th August 2022. Register for the fair to interact with Mercedes Benz recruiters live! How to Apply: Click on the Apply button to submit your job application and then register for the Virtual Career Fair. If you are an existing Monster user, please enroll for the event by logging in using Monster credentials. Post Registration / Enrollment for the fair, directly interact with Recruiters on the Virtual Career Fair Platform and stand a chance to get interviewed and hired on the spot! Job Title: Big Data Engineering Architect Experience: 8-13 yrs State: Karnataka City: Bangalore Key Skills: End-to-end development of Data Engineering platform. Work with the team to deliver solutions on the Azure Cloud using core cloud data engineering tech stack (Pyspark, Python, Scala, Data bricks) Working level knowledge of Full stack development (Front end, back end development and Testing) Experience of Micro-services development Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Data bricks) Capability to build data analytics solutions to required performance & scale Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts Capability to do Architecture design review and code review Job Description: Experience: 8 – 13 years Keywords: Big Data, Azure, Algorithm Development, Micro services, Distributed computing, Data Engineering Description: As a Senior Technical Lead, you will be responsible to analyze battery performance time series data (big data) of electric vehicles by developing high performance algorithms and give end-to-end solution to integrate the outcome to the enterprise data platform Responsibilities: Develop cloud-based big data engineering and analytics solutions in the conventional and electric powertrain space in Automotive domain Algorithm development for battery performance time series data to deliver desired parameters (like State of Charge (SOC)) by using advanced database query languages Understand current legacy code (Matlab) and transformation to the advanced query language Provide results in the form of dashboards using visualization package like Tableau Integrate the final solution to Enterprise data platform (cloud enabled) Collaborating with Global stakeholders Skills/Qualifications: Bachler’s or Master’s degree in Computer Science Experience of working with Time series measurement data Programming experience in Pyspark, Scala or Python and SQL. Object oriented programming experience is a must Experience on Azure Data Explorer using KQL (Kusto Query Language) Expertise in Algorithm development Experience of working in Azure Data bricks environment Experience in Data Visualization Experience of Parallel and distributed computing while Handling big data having working knowledge of distributed databases Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment Understanding of Automobile Components functioning will be an added advantage Experience of Working in a geographically distributed cross-cultural teams Experience of Working in agile environment Proficient in a source code control system such as GIT Soft Skills : Flexible, Self-driven, Team Player, Excellent written and verbal communication skills Additional Skills: Mentoring a team of high performing engineers and align them to project goals to deliver complex data solutions. Identify Data Driven Development opportunities Execute and oversee end-to-end development of Data Engineering platform. Work with the team to deliver solutions on the Azure Cloud using core cloud data engineering tech stack (Pyspark, Python, Scala, Data bricks) Working level knowledge of Full stack development (Front end, back end development and Testing) Experience of Micro-services development Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory, Azure Data bricks) Capability to build data analytics solutions to required performance & scale Good Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts Capability to do Architecture design review and code review

Expected salary:

Location: Bangalore, Karnataka

Job date: Sun, 21 Aug 2022 22:50:30 GMT

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