-native platform running on Google Cloud Platform and supporting distributed data processing using Apache Spark. Experience... with large-scale datasets, GCP services, Spark, and containerized microservices is essential. Responsibilities: Consult...
is focused on building and maintaining scalable, cloud-based data pipelines using Databricks, Spark, and Python to enable... Databricks, Spark, and PySpark Extract, transform, and ingest Salesforce CRM data into centralized Data Hub Build high...
, configure, and maintain OpenShift clusters or GCP projects for Spark workloads Support platform capabilities for statistical... model execution Design and implement large-scale data processing workflows using Apache Spark Tune Spark jobs using...
(e.g., Hadoop, Spark, Snowflake). Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects. Data...
tools that enable statisticians to process large datasets and run analytical workloads using GCP, Apache Spark... supporting containerized Spark applications Architect and enhance the platform used for executing statistical risk models Drive...
Management: Deploy, configure, and maintain OpenShift clusters or GCP projects to support containerized Spark Applications... Spark. Optimization: Tune Spark jobs for performance, leveraging OpenShift's resource management capabilities (e.g...
Skillsets: Experience with the following tools is preffered o Apache Spark o SQL Server o DB2 o AWS S3 o OpenShift...
., Hadoop, Spark, Snowflake). Experience with BI tools such as Tableau, ThoughtSpot, or Business Objects. Data Architecture...
, snowflake schema) ETL/ELT processes Big data platforms (Hadoop, Spark) Experience with modeling tools: ERwin, ER/Studio...
(including Py-Spark) and SQL is essential. Experience with the Hadoop ecosystem and components. Experience with relational (e.g... Additional experience in Java or Scala. Experience with distributed computing frameworks like Apache Spark and Kafka. High...