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Big Data Engineer

Purple Drive

Overview:

Key Responsibilities

  • Design, develop, and maintain big data pipelines leveraging Hadoop, Spark, and Kafka .
  • Develop and optimize J2EE backend services for large-scale data processing and integration.
  • Program in Python, Scala, and Java to build robust data and backend solutions.
  • Architect and implement cloud-native solutions on GCP and Azure platforms.
  • Design and maintain data models, data warehousing solutions, and BI tools to enable data-driven decision making.
  • Implement and manage workflow orchestration frameworks such as Automic and Airflow for data pipeline automation.
  • Collaborate with cross-functional teams including data scientists, analysts, and DevOps engineers to deliver end-to-end data solutions.
  • Ensure data quality, security, and scalability across all platforms.
  • Troubleshoot and optimize performance of large-scale distributed systems.
Required Skills & Qualifications

  • Bachelor's/Master's degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 6-8years of experience in big data engineering and backend development .
  • Expertise in Hadoop ecosystem (HDFS, MapReduce, Hive, Spark) and Kafka .
  • Strong programming skills in Python, Scala, and Java .
  • Hands-on experience with J2EE backend development .
  • Proven experience with cloud services (GCP, Azure) for data engineering and application deployment.
  • Proficiency in data modeling, warehousing concepts, and BI tools .
  • Experience with workflow orchestration tools such as Airflow, Automic .
  • Strong problem-solving and debugging skills in large-scale distributed environments.
Preferred Skills (Nice to Have)

  • Familiarity with containerization and orchestration (Docker, Kubernetes).
  • Knowledge of streaming frameworks (Spark Streaming, Flink, Storm).
  • Exposure to CI/CD pipelines and DevOps practices.
  • Experience in Agile/Scrum development environments .
Vacancy posted 4 days ago
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