Senior Data Pipeline Architect

19 hours ago


Belgaum, Karnataka, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

We are seeking a highly skilled Data Engineer to join our team. This role involves designing, developing, and optimizing large-scale data pipelines and distributed data processing systems.

Key Responsibilities:

  1. Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
  2. Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
  3. Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
  4. Write efficient queries and perform data analysis using Jupyter Notebooks and SQL.
  5. Collaborate with cross-functional teams to design scalable cloud-based data architectures.
  6. Ensure delivery of high-quality code through code reviews, performance tuning, and best practices.
  7. Build monitoring and alerting systems leveraging Splunk or equivalent tools.
  8. Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.
  9. 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.

Why this Role?

This is an excellent opportunity to work with a talented team and contribute to the development of innovative data solutions. If you have a passion for data engineering and want to take your career to the next level, we encourage you to apply.



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