Mb.os-dataplatform-infra&dataops-t71

2 months ago


Bengaluru, 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 self-service compute & ML workspaces so that In-house data teams can spin-up 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 end-to-end 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 production-level development and operations on AWS or Azure Cloud.
- Experienced with Automation, configuration and provisioning infrastructure-as-code 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 stream-processing systems: Kafka, Apache Storm, Spark-Streaming, Apache Flink, etc.
- Handling requirements of managed services, IAM, auto-scaling, 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 self-service, secure and innovative infrastructure.
- Building shared access controls to support multi-tenancy and self-service 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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