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High-Performance Data Architect
3 weeks ago
We are seeking an experienced Big Data Engineer to join our data engineering team. This role involves designing, developing, and optimizing large-scale data pipelines and distributed data processing systems.
The ideal candidate will have strong expertise in Scala, Spark, Python, NiFi, and Apache Kafka, as well as experience in cloud-based data architectures.
- Design and develop scalable data pipelines and processing systems using Scala and Spark.
- 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 data-intensive systems.
Mandatory Skills:
- Scala - 3+ years of hands-on experience.
- Strong expertise in Spark (PySpark) and Python programming.
- Hands-on experience with Apache Kafka messaging technology.
- Knowledge of NiFi / Airflow for workflow automation.
- 5+ years of experience in Distributed Data Systems.
- Proficiency in SQL query optimization techniques.
- Good understanding of Cloud Architecture principles.
Preferred Skills:
- Familiarity with messaging technologies like Apache Kafka or equivalent.
- Experience in designing user interfaces for data visualization.
- Familiarity with Splunk or other monitoring/alerting solutions.
- Hands-on experience with CI/CD tools (Git, Jenkins).
- Strong grasp of software engineering concepts and data modeling.