Data Architect

2 weeks ago

Ahmedabad, Gujarat, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Summary:

We are seeking an experienced Data Architect to design, develop, and implement large-scale data pipelines and distributed data processing systems.

About the Role:

This is a key position in our data engineering team responsible for developing and maintaining scalable cloud-based data architectures.

Key Responsibilities:

  • Design and develop large-scale data pipelines using Scala, Spark, and Python.
  • Work extensively with Apache Kafka and orchestration tools like NiFi / Airflow to develop and integrate streaming solutions.
  • Write efficient queries and perform data analysis using Jupyter Notebooks and SQL.
  • Collaborate with cross-functional teams to design and deploy scalable data systems.
  • 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.

Required Skills and Qualifications:

  • 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.

About Us:

We value innovation and collaboration, and we are committed to providing a challenging and rewarding work environment that fosters growth and development.

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