Help design, build and continuously improve the clients online platform. Research, suggest and implement new technology solutions following best practices/standards. Take responsibility for the resiliency and availability of different products. Be a productive member of the team.
Requirements Design and develop robust ETL pipelines using Apache Spark and Python Write clean, scalable code in Python, Java, or Scala Implement and optimize Data Warehouse / Data Lake solutions Build and manage distributed data processing systems, including Kafka and Apache Beam Work with NoSQL databases such as HBase, Cassandra, or MongoDB Orchestrate workflows using Airflow or Oozie; manage cache systems with Redis Optimize resources using YARN and manage performance of distributed systems Work with relational databases (Oracle, MySQL, DB2) using PL/SQL Debug, troubleshoot, and tune performance of Hadoop, Spark, and Oozie jobs Collaborate in cloud environments, preferably Google Cloud Platform (GCP) or AWS Hands-on experience with GCP or AWS cloud platforms Professional certification in GCP or AWS is a strong plus Proven track record in performance tuning and debugging distributed data jobs Solid understanding of data architecture, pipeline design, and best practices Benefits A challenging, innovating environment.
Opportunities for learning where needed.
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