Advanced Data Architecture Specialist

1 day ago

kolkata, India beBeeDataEngineer Full time

**Job Title:** Senior Data EngineerWe are seeking a skilled and experienced Senior Data Engineer to join our team. As a key member of our organization, you will be responsible for designing, building, and optimizing data platforms and streaming pipelines that power our data products, analytics, and AI/ML initiatives.**Key Responsibilities:**Design, build, and maintain scalable data pipelines (batch and streaming) to support analytics, personalization, and AI/ML use cases.Develop, deploy, and maintain microservices and data APIs using Python frameworks such as FastAPI or Flask.Build and optimize distributed data processing jobs using technologies such as Apache Spark, Flink, or Beam (with a strong focus on streaming workloads).Design and manage data models, warehouses, and data marts; write efficient SQL for analytics and production workloads.Implement and maintain event-driven architectures using pub/sub or messaging systems.Set up and maintain CI/CD pipelines for data and application deployments.Containerize services using Docker and manage deployments on Kubernetes-based infrastructure.Orchestrate complex data workflows using tools such as Apache Airflow or Argo Workflows.Collaborate with ML and product teams to build and productionize LLM-powered applications (Agents, RAG-based systems, etc.).Work with vector databases and retrieval systems for RAG and semantic search use cases.Ensure data quality, reliability, observability, and documentation across all pipelines and services.**What We Offer:As a Senior Data Engineer at our organization, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of professionals, and contribute to the development of innovative data solutions. Our organization is committed to providing a dynamic and supportive work environment that fosters growth, learning, and success.**Requirements:To be successful in this role, you should possess:A strong background in data engineering, including experience with data pipelines, microservices, and data APIs.Proficiency in programming languages such as Python, Java, or Scala.Familiarity with big data technologies such as Hadoop, Spark, or Flink.Knowledge of cloud-based data platforms such as AWS, GCP, or Azure.Experience with containerization using Docker and orchestration using Kubernetes.Excellent communication and collaboration skills.A bachelor's degree in Computer Science, Engineering, or a related field.If you are a motivated and experienced Senior Data Engineer looking for a new challenge, we encourage you to apply for this exciting opportunity.

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