
Big Data Architect
1 day ago
We are seeking a skilled professional to lead the development and optimization of large-scale data pipelines and distributed data processing systems.
The ideal candidate will have a strong track record in designing, building, and scaling big data architectures, as well as hands-on experience with cloud-based solutions.
Key Responsibilities:
- 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.
- 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.
- Contribute to product development with a focus on scalability, maintainability, and performance.
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.
Benefits:
This role offers opportunities for growth and professional development, working with cutting-edge technologies and innovative solutions. The ideal candidate will be part of a collaborative team environment that values knowledge-sharing, open communication, and continuous learning.
Requirements:
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