Jobs at Korn Ferry

Want to be part of a growing data engineering and analytics team? Korn Ferry has a role that provides an opportunity to work with some exciting and emerging technologies in the data engineering and cloud space. It is with our global client in the collosion repair space.

You'll get the opportunity to build high performance & scalable data pipelines while adopting industry best practices on data management, quality and automation. In this role you will represent the data organization and will be working with key stakeholders across the organization on strategic business initiatives.

They are currently modernizing their data platform with AWS.

• Skills / Experience You Will Need: 6+ years of experience working with enterprise data platforms, building and managing data lakes and using big data technologies
• 4+ years of experience working with AWS platform. Experience with solutioning on AWS infrastructure using services like AWS IAM, S3, API Gateway, Lambda, Glue, Lake formation, Redshift, RDS
• 4+ years of experience with using Python for data engineering and developing high performance and scalable data pipeline
• 5+ years of experience working with relational and non-relational / NoSQL databases, advanced knowledge of SQL
• Strong understanding of concepts around data warehousing, BI, data security, data quality and profiling
• Prior experience with traditional ETL tools like Talend Open Studio, Informatica, Pentaho or something similar is strongly preferred
• Experience with automating and orchestrating jobs on a big data platform using Airflow, Jenkins or something similar is strongly preferred
• Good understanding and experience working with various products in the big data ecosystem like Spark, EMR, Hive, NoSQL databases like DynamoDB, Cassandra
• Experience with implementation of data quality frameworks/products/tools is a plus
• Prior experience with working in a SQL server based environment and using SSIS, SSRS, TSQL is a plus
• Has to be a team player and open to working with newer technologies as well as supporting legacy systems