Edge Platform Engineer

5 days ago

Dholera, India Tata Electronics (TEPL) Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Key Responsibility

  • Perform IT system architecture design, new technology research, and provide recommendation.
  • Design and implement optimal data pipeline architecture (considered high data volume, data governance, etc.).
  • Work with PRODUCT/BIZ teams to assist with new data platform re-engineering or data-related technical issues.
  • Build and implement the features and services of an intelligent device control platform on Kubernetes (K8S) environment
  • Build multiple data connectivity capability
  • Perform cloud native microservices design and build service library for workflow pipeline integration.
  • Design solution architecture for non-stop services upgrade and operation
  • Implement service message exchange with new technology
  • Build and implement the features and services of Big Data analytic platform on high availability NoSQL DB (e.g.Cassandra, HDFS, S3/MinIO, MariaDB, MongoDB etc.) on K8s environment.
  • Build small data lake initially then enlarge for company data lake
  • Build small image/video lake initially then enlarge

Qualification

  • B. E in Computer Science, Electrical Engineering, Mechanical Engineering or related fields (Information Engineering, Information Management, Data engineering, Applied Mathematics, Robot/Automation.

Experience

  • Experience in container and cloud-native solution (K8S/Docker, Istio, ArgoCD, MongoDB, Redis, etc)
  • Experience in microservice implementation, conductor workflow implementation, Kafka queue implementation on K8S environment
  • Experience in tool connection to IT systems (IoT, Image/Voice, SECS/GEM, PLC/DCS, add-on sensors... etc)
  • Experience in big data ecosystem (Hadoop, Spark, ) and SQL NoSQL database (MariaDB, MongoDB, ).
  • Experience in data orchestration among various data sources, data parallel processing, metadata data management, data quality assurance, data security and governance, and new data technology evaluation and enablement.
  • Knowledge of object stores for image and semi/unstructured data.
  • Experience in big data solutions development, data pipelines for batch and streaming applications.
  • Experience in monitoring and analysis tools, such as Nagios, ELK, Splunk, and Grafana.
  • Ability to design solutions independently based on high-level architecture.
  • Cloud native deployment practices, specifically, containers and container orchestration platforms.

Additional Technical Requirements

  • Experience in Hadoop ecosystem and SQL NoSQL databases.
  • Experience in TypeScript/JavaScript, Kotlin, Java, F#, C/C++/C#, Rust, SQL or other relevant programming languages
  • Big Data Solutions development, data pipelines for batch and streaming applications.

Competencies

Teamwork

Agility

Customer Empathy

Purposeful Pursuit of Goals

Pioneering

Deep Domain Knowledge

Future Ready

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