Big Data Solutions Specialist

4 days ago


India beBeeDataEngineering Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Big Data Engineer

Location: Bangalore, Chennai, Gurgaon, Pune, Mumbai.

Experience: 7–10 Years (Minimum 3+ years in Scala)

Notice Period: Immediate to 30 Days

Mode of Work: Hybrid

We are seeking a highly skilled professional with expertise in data engineering and architecture. The ideal candidate will have hands-on experience in building, scaling, and optimizing big data pipelines, and strong understanding of distributed data systems and cloud-based solutions.

The selected individual will be responsible for:

- Designing, developing, and optimizing large-scale data pipelines and distributed data processing systems.

- Working extensively with Scala, Spark (PySpark), and Python for data processing and transformation.

- Developing and integrating streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.

- Writing efficient queries and performing data analysis using Jupyter Notebooks and SQL.

- Collaborating with cross-functional teams to design scalable cloud-based data architectures.

- Ensuring delivery of high-quality code through code reviews, performance tuning, and best practices.

- Building monitoring and alerting systems leveraging Splunk or equivalent tools.

- Participating in CI/CD workflows using Git, Jenkins, and other DevOps tools.

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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