
Data Systems Engineer
1 week ago
Job Title: Data Systems Engineer
Job Overview:
We are seeking a skilled Data Systems Engineer to join our team. The ideal candidate will have hands-on experience in designing, developing, and optimizing large-scale data pipelines and distributed data processing systems.
Key Responsibilities:
- Design and develop efficient data processing systems using Scala, Spark, and Python.
- Work with Apache Kafka and NiFi / Airflow for streaming solutions and data orchestration.
- Collaborate with cross-functional teams to design scalable cloud-based data architectures.
- Ensure delivery of high-quality code through code reviews 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.
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.
Preferred Skills:
- Experience in designing intuitive 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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