
Strategic Data Architect
2 weeks ago
We are seeking an accomplished Big Data Engineer with expertise in scalable data systems and cloud-based solutions.
The ideal candidate will have a proven track record of designing, developing, and optimizing large-scale data pipelines, as well as hands-on experience in distributed data systems and cloud-based platforms.
Key Responsibilities:- Design and develop large-scale data processing systems.
- Work extensively with Scala, Spark (PySpark), and Python for data analysis and transformation.
- Develop 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 data architectures.
- Ensure delivery of high-quality code through code reviews and performance tuning.
- Build monitoring and alerting systems leveraging Splunk or equivalent tools.
- Participate in CI/CD workflows using Git, Jenkins, and other DevOps tools.
- 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 of this position include the opportunity to work on challenging projects, collaborate with experienced professionals, and grow your skills in big data engineering.
This is an exciting opportunity for those passionate about big data engineering to join our team and contribute to the success of our organization.
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