Job Description

Tatigkeitsbereich:Forschung & Entwicklung incl. Design
Fachabteilung:Cloud, Data & Connected Services
Gesellschaft:Mercedes-Benz Research and Development India Private Limited
Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore
Startdatum:sofort
Veroffentlichungsdatum:28.11.2025
Stellennummer:MER0003PMG
Arbeitszeit:Vollzeit
Aufgaben
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


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


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
Benefits
Mitarbeiterrabatte moglich
Gesundheitsmassnahmen
Mitarbeiterhandy moglich
Essenszulagen
Betriebliche Altersversorgung
Hybrides Arbeiten moglich
Mobilitatsangebote
Mitarbeiter Events
Coaching
Flexible Arbeitszeit moglich
KontaktMercedes-Benz Research and Development India Private Limited
Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort
MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com