Senior Data Engineer

Description Overview We are seeking a Senior Data Engineer to support a major Salesforce Phase 2 data migration initiative. This role will focus heavily on building and optimizing data pipelines, developing ETL workflows, and moving CRM data from Salesforce into Databricks. The engineer will work closely with a senior team member, contribute to Scrum ceremonies, and play a key role in developing the core CRM data environment used by the advertising organization. Key Responsibilities Data Eng

This is a contract position focused on building and scaling world-class data infrastructure using AWS, Databricks, and Snowflake. You will be at the forefront of our data movement strategy, ensuring that information flows seamlessly and reliably across our enterprise ecosystems. The Opportunity This role is perfect for a builder who thrives on solving complex architectural puzzles and eliminating system vulnerabilities. You will have the unique opportunity to lead the charge in identifying and

We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data platforms on AWS. The ideal candidate is hands-on, cloud-native, and strong in Python, SQL, PySpark, AWS Glue, and Terraform, with experience building production-grade data pipelines. Responsibilities:Design, develop, and maintain scalable data pipelines using AWS services Build and optimize ETL/ELT pipelines using PySpark and AWS Glue Develop clean, efficient, and reusable code using Python Write and

Job Title: Data Engineer Expert Duration: 06 Months Location: RemotePrior State project experience is mandatory Key Responsibilities: Design and develop data pipelines and ELT processes to integrate large, diverse datasets from multiple sources. Build and maintain data models and structures to support enterprise reporting and analytics. Collaborate with cross-functional teams to deliver BI and analytics solutions that meet business needs. Optimize data performance by troubleshooting and resolvi