Data Scientist Engineer

19 hours ago

Agra, Uttar Pradesh, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title: Data Scientist Engineer

We are seeking a highly skilled Data Scientist Engineer with expertise in data analytics, machine learning, and software engineering to join our team.

About the Role:

The ideal candidate will have hands-on experience with big data tools like Scala, Spark, Python, NiFi, and Apache Kafka.

Key Responsibilities:

  • Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
  • Work extensively with data modeling, data transformation, and data analysis using Jupyter Notebooks and SQL.
  • Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
  • 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:

  • Data Analytics – Minimum 3+ years of hands-on experience.
  • Strong expertise in Machine Learning.
  • Hands-on experience with 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.

Benefits:

You will have opportunities to work with cutting-edge technologies, collaborate with experienced professionals, and grow your skills in a dynamic environment.

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