Cloud-Distributed Data Architect

2 days ago

Gulbarga, Karnataka, India beBeeData Full time ₹ 35,00,000 - ₹ 50,00,000
Big Data Engineer Position

We are seeking a highly skilled Big Data Engineer to join our data engineering team.

The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines, and hands-on experience in distributed data systems and cloud-based solutions.

  • Main Responsibilities:
  • - Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
  • - Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
  • - Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
  • - Write efficient queries and perform data analysis using Jupyter Notebooks and SQL.
  • - Collaborate with cross-functional teams to design scalable cloud-based data architectures.
  • - Ensure delivery of high-quality code through code reviews, performance tuning, and best practices.
  • - Build monitoring and alerting systems leveraging Splunk or equivalent tools.
  • - Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.
  • - Contribute to product development with a focus on scalability, maintainability, and performance.
  • Mandatory Skills:
  • - Scala – Minimum 3+ years of hands-on experience.
  • - Strong expertise in Spark (PySpark) and Python.
  • - Hands-on experience with Apache Kafka.
  • - Knowledge of NiFi / Airflow for orchestration.
  • - Strong experience in Distributed Data Systems (5+ years).
  • - Proficiency in SQL and query optimization.
  • - Good understanding of Cloud Architecture.
  • Preferred Skills:
  • - Exposure to messaging technologies like Apache Kafka or equivalent.
  • - Experience in designing intuitive, responsive UIs for data analytics visualization.
  • - Familiarity with Splunk or other monitoring/alerting solutions.
  • - Hands-on experience with CI/CD tools (Git, Jenkins).
  • - Strong grasp of software engineering concepts, data modeling, and optimization techniques.

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