
Cloud-Scale Data Specialist
24 hours ago
We are seeking a seasoned Big Data Engineer with expertise in Scala, Spark, Python, NiFi, and Apache Kafka to join our team.
Key Responsibilities
- Design and develop large-scale data pipelines and distributed data processing systems using Scala, Spark, and Python.
- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- Work on efficient queries and perform data analysis using Jupyter Notebooks and SQL.
- Collaborate with cross-functional teams to design scalable cloud-based data architectures.
- Deliver 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
- Minimum 3+ years of hands-on experience in Scala.
- 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.
- Proficiency in SQL and query optimization.
- Good understanding of Cloud Architecture.
Benefits
This role offers the opportunity to work with a highly skilled team and contribute to the development of cutting-edge big data solutions.
Others
The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines and distributed data systems.
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