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Unlock Scalable Data Solutions

2 weeks ago

Raipur, Chhattisgarh, India beBeeDataPlatformEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Senior Data Platform Engineer

Job Description:

Design and develop scalable data platforms using Big Data technologies and GCP services. This role involves creating efficient data pipeline frameworks leveraging Spark, Hadoop, Kafka, Hive, etc., and GCP services like BigQuery, Dataflow, Pub/Sub, etc.

  • Develop, optimize, and manage batch and real-time data pipelines to support business intelligence, analytics, and AI/ML workloads.
  • Utilize Java to build high-performance data processing applications and frameworks.
  • Design and implement cloud-native data solutions on GCP, ensuring reliability, security, and cost efficiency.
  • Work with structured and unstructured data sources, integrating data from multiple systems into a unified platform.
  • Optimize data processing performance by fine-tuning Spark jobs, SQL queries, and distributed computing environments.
  • Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions.
  • Implement CI/CD pipelines for data workflows and set up monitoring solutions to track system health and performance.
Required Skills and Qualifications:
  • Strong proficiency in Java for data engineering and backend development.
  • Hands-on experience with Big Data technologies (Hadoop, Spark, Kafka, Hive, HBase, etc.).
  • Expertise in GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer (Airflow), Dataproc, etc.
  • Experience in developing data platform frameworks to support scalable and reusable data solutions.
  • SQL & NoSQL database experience (e.g., BigQuery, PostgreSQL, Cassandra, MongoDB).
  • Knowledge of ETL/ELT processes and data modeling concepts.
  • Experience with CI/CD tools (Git, Jenkins, Terraform) and infrastructure as code (IaC).
  • Understanding of distributed computing principles and high-performance data processing.
  • Strong problem-solving skills and ability to work in a fast-paced, agile environment.
Key Responsibilities:
  • Design and develop data platforms and data pipelines.
  • Collaborate with cross-functional teams to deliver high-quality data solutions.
  • Optimize data processing performance and troubleshoot issues.
  • Implement monitoring and automation solutions.