
Scala/Big Data Developer
1 day ago
Immediate to 30 Days
Mode of Work: Hybrid
#Click the link below to learn more about the role and take the AI Interview to begin your application journey:
We are looking for a highly skilled Big Data Engineer (Scala) with strong expertise in Scala, Spark, Python, NiFi, and Apache Kafka to join our data engineering team. The ideal candidate will have a proven track record in building, scaling, and optimizing big data pipelines , and hands-on experience in distributed data systems and cloud-based solutions.
Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
- Work extensively with Scala, Spark (PySpark), and Python for data processing and transformation.
- Write efficient queries and perform data analysis using Jupyter Notebooks and SQL .
- 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.
Scala – Minimum 3+ years of hands-on experience.
- Strong expertise in Spark (PySpark) and Python .
- Hands-on experience with Apache Kafka .
- Strong experience in Distributed Data Systems (5+ years) .
- Proficiency in SQL and query optimization.
- Good understanding of Cloud Architecture .
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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