MB.OS 2.0 Connected Car Platform Developer

Mercedes Benz

4 - 6 years

6 - 8 Lacs

bengaluru

Posted:20 hours ago| Platform:

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Skills Required

git data transformation python devsecops aws kubernetes production apache storm azure data factory sql open source apache java iam spark cloud computing ml rest data processing event hub azure cloud data bricks kafka scrum terraform agile

Work Mode

Work from Office

Job Type

Full Time

Job Description

Looking for 4-6 years of hand-ons experience with production-level development and operations on AWS or Azure Cloud
Develop and maintain infrastructure-as-code using Terraform to deploy and manage Kubernetes clusters (AKS) and Databricks environments
Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Amazon data Pipeline, Apache Spark, Databricks
Hands-on experience with one or more of stream & batch processing systems: Kafka (Confluent cloud, open source), Apache Storm, Spark-Streaming, Apache Flink, Kappa architecture
Experience in architecting right storage strategy for use-cases, keeping data processing, data accessibility, data availability and cloud cost considerations
Proficiency in Data transformation using Kstreams App/KSQL/Processor Libraries
Data ingestion and data distribution integration experience using managed connectors such as Event Hubs, kafka topics, ADLS2, REST APIs
Proficiency to set-up & manage open-source stack, including Airflow, Druid, Kafka (open source) OpenSearch, and Superset
Proficiency in Python scripting for automation and integration tasks
Utilize FastAPI for building and deploying high-performance APIs
Handling requirements of managed services, IAM, auto-scaling, High availability, elasticity, networking options
Handle federated access to cloud computing resource (or set of resources) based on a user's role within the organization
Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions
Proficiency in DevSecOps practices throughout the product lifecycle including fully managed Day 2 Ops leveraging Datadog
Shared access controls to support multi-tenancy and self-service tooling for customers
Manage data catalog per topic or domain based on services & use-cases offered
Research, investigate and bring new technologies to continually evolve data platform capabilities
Experience in working under Agile scrum Methodologies

Qualifikationen

Data Infrastructure & Operations
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

Looking for 4-6 years of hand-ons experience with production-level development and operations on AWS or Azure Cloud
Develop and maintain infrastructure-as-code using Terraform to deploy and manage Kubernetes clusters (AKS) and Databricks environments
Hands-on experience with data pipeline orchestration tools like Azure Data Factory, Amazon data Pipeline, Apache Spark, Databricks
Hands-on experience with one or more of stream & batch processing systems: Kafka (Confluent cloud, open source), Apache Storm, Spark-Streaming, Apache Flink, Kappa architecture
Experience in architecting right storage strategy for use-cases, keeping data processing, data accessibility, data availability and cloud cost considerations
Proficiency in Data transformation using Kstreams App/KSQL/Processor Libraries
Data ingestion and data distribution integration experience using managed connectors such as Event Hubs, kafka topics, ADLS2, REST APIs
Proficiency to set-up & manage open-source stack, including Airflow, Druid, Kafka (open source) OpenSearch, and Superset
Proficiency in Python scripting for automation and integration tasks
Utilize FastAPI for building and deploying high-performance APIs
Handling requirements of managed services, IAM, auto-scaling, High availability, elasticity, networking options
Handle federated access to cloud computing resource (or set of resources) based on a user's role within the organization
Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions
Proficiency in DevSecOps practices throughout the product lifecycle including fully managed Day 2 Ops leveraging Datadog
Shared access controls to support multi-tenancy and self-service tooling for customers
Manage data catalog per topic or domain based on services & use-cases offered
Research, investigate and bring new technologies to continually evolve data platform capabilities
Experience in working under Agile scrum Methodologies

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