Big Data Engineer

Looking for a Big Data Engineer that will be responsible for delivering relevant technical solutions based on best practices primarily for data collection, storing, processing and provisioning huge data sets. Potential candidates should have extensive experience in Big Data Technologies, (Hadoop, Cloud, Data Lake, ETL processing, and reporting) plus a background in the Financial Industry. Candidate will be encouraged to work as an individual contributor as well as provide oversight and direction to other technical resources as required.

• Expertise in Data technologies and tools like Spark, Kafka, Hive, NiFi, Sqoop, Impala, Flume, Oozie
• Experience in API Development and Handling.
• Experience in Cloud Technologies: AWS, Glue, Lambda, EMR and Snowflake/RedShift database.
• Proven design and development background in ETL, Data Warehouse, BI and data migration projects.
• Partner with Development teams to ensure Coding standards are in alignment with DevOps practices with respect to Tools, Standards and Security
• Ability to work in a fast-paced environment and handle multiple priorities in parallel.
• Automation mind-set an innate aim to continuously look for ways to automate existing processes.
• Experience working on Agile Scrum teams.