
Senior Large-Scale Data Processing Specialist
6 days ago
Job Role: Data Scientist
We are seeking a highly skilled expert in large-scale data processing to join our 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.
Key Responsibilities:
- Design, develop, and optimize large-scale data pipelines and distributed data processing systems.
- Work extensively with Spark (PySpark), Python, Scala, Apache Kafka, and NiFi for data processing and transformation.
- Develop and integrate streaming solutions using Apache Kafka and orchestration tools like NiFi / Airflow.
- 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.
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.
About This Position
This is an exciting opportunity for a skilled professional to take their career to the next level. The ideal candidate will be able to demonstrate a strong portfolio of work and contribute to the growth of our company.
What We Offer
We offer a competitive salary and benefits package, as well as opportunities for professional development and growth.
How to Apply
To apply for this position, please submit your resume and cover letter.
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