Connected Cars

2 weeks ago

Bengaluru, Karnataka, India Mercedes-Benz Research and Development India Private Limited Full time

Aufgaben:

  • The created infra will offer flexible and secure data ingestion, streaming, transformation, analytics and data lake storage paired with selfservice compute & ML workspaces so that Inhouse data teams can spinup services and create pipelines as per their business requirements.


 What we do?
  • We build solutions that touches and defines the experience of more than 8 million Mercedes-Benz customers.
  • We invest in building resilient and scalable solutions in the cloud using best development practices and state of the art cloud platforms.
  • We endorse to "In God we trust; all others must bring data."
  • W Edwards Deming
  • We believe if you build the best product then you don't have to worry about waking up in the middle of the night to address an incident
  • We collaborate with colleagues from various delivery hubs of Daimler to deliver cutting edge in car experience for our customers.
  • We own endtoend delivery responsibilities and promote/adopt "You build it you run it" culture.
  • We love polyglot programming and always choose the right technology and language to fit the need.

Technical Skills:

  • Rich experience with productionlevel development and operations on AWS or Azure Cloud.
  • Experienced with Automation, configuration and provisioning infrastructureascode using Pulumi, Terraform, ARM in a controlled environment.
  • Experienced in coding with Python, Bash, and/or Golang.
  • Proficiency in building a Scalable Data Platform for Big Data Use cases across Enterprise using Cloud technologies from Large providers, PaaS, Open source solutions
  • Expertise in data pipeline orchestration tools like Azure Data Factory,Amazon data Pipeline, Apache Spark/ Hadoop, Databricks
  • Experience on streamprocessing systems: Kafka, Apache Storm, Spark-Streaming, Apache Flink, etc.
  • Handling requirements of managed services, IAM, autoscaling, High availability, elasticity, networking options
  • Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions.
  • Experience in working under Agile scrum Methodologies.

Behavioral Skills:

  • Bias towards action/proactivity, shows initiative
  • Big picture thinking and understanding the business needs
  • As expected in Cloud space, curiosity learn and experiment new tech stacks
  • Assertive communication & listening skills through various forums

Roles & Responsibilities:

  • Following are the areas of work but not limited to:
  • Designing, Building, Configuring, deploying, managing and automating next generation cloud infrastructure tools for interesting Automotive Big Data use cases ( Autonomous, Connected, Vehicle Diagnostics & many more)
  • Building & operating Data Infrastructure for Data Driven Development, Data Driven operations and Monetization use cases across domain
  • Interactively work with Data Engineering teams across locations(US,Germany,China etc.) to understand the requirements and build customised immutable selfservice, secure and innovative infrastructure.
  • Building shared access controls to support multitenancy and selfservice tooling for customers.
  • Federating access to cloud computing resource (or set of resources) based on a user's role within the organization.
  • Manage catalogue per topic or team based on services offered.
  • Research, investigate and implement newer technologies to continually evolve security capabilities.

Qualifikationen:

Masters or Bachelor's degree in computer science or relevant stream. Any proficient certification related to job are preferred.

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