Sr Big data engineer local in MA

[Big data developer Work Location Boston] (Inperson interview can be accommodated between Austin or MA office ) Overall experience 7 to 8 years in Scala-Spark data engineering and Data pipeline designExperience in databricks preferredHands on experience in Design and development of Ingestion pipeline, ETL pipeline and jobs in Databricks. Databricks workspace and cluster configuration and Job scheduling and workflow managementHands on experience in Scala-Spark Development

RESPONSIBILITIES: Kforce client is in need of a Scala Spark Data Developer to work on-site 4 days a week in Burlington, MA. This is a contract to hire opportunity. Summary: The Scala Spark Data Developer will be supporting multiple data use cases, including lift-and-shift initiatives and new pipeline development, on an AWS-based big data platform. The role is hands-on, delivery-focused, and embedded within an environment that has production support already in place, allowing time to learn stan

hands-on on Data Engineering, AWS resources. Candidates should have end-to-end to knowledge of application migration and should suggest cloud services which can replace existing on-premises services. In a nutshell we are looking for candidates who have hands on experience with migration of legacy applications from On-prem to AWS Public Cloud using AWS services such as EC2, ALB/ELB, S3, FSX, Opensearch, Kibana, CloudWatch, grafana, AWS Secret Manager with CyberArk, KMS and OIDC/ SAML integration

We are currently supporting a direct client that has recently migrated from a legacy data platform to Databricks as part of a broader modernization initiative. As this is a new implementation of their Lakehouse platform, the team is looking for a Senior Databricks Platform Administrator who can play a key role in guiding the platform through the next phase ? including POC validation, platform governance, and operational best practices. This role is ideal for someone who enjoys working at the arc