About the Job you are considering:

Results-driven Hadoop Spark Data Engineer with strong expertise in designing and implementing scalable big data solutions using Scala and Apache Spark. Experienced in working with the Hadoop ecosystem, including HDFS, Hive, and YARN, to process and analyze large datasets efficiently. Skilled in building robust ETL pipelines, real-time data processing, and optimizing distributed systems for performance and reliability. Proficient in SQL, data modeling, and integrating data from multiple sources in cloud and on-prem environments.

Hybrid working:

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.

Your Role:

• Design and develop Hadoop based applications and data pipelines.