Data Engineer (New York)Brooksource • New York, NY, United States
Data Engineer (New York)
Brooksource • New York, NY, United States
18 hours ago
Job type
- Temporary
Job descriptionModify and migrate existing workflows and pipelines from Redshift to Databricks. Rebuild data preprocessing structures that prepare Salesforce data for Tableau dashboards and ad hoc analytics. Identify and map Redshift data sources to their Databricks equivalents, accounting for any structural or data differences. Optimize and consolidate 200+ artifacts to improve efficiency and reduce redundancy. Implement Databricks-specific improvements to leverage platform capabilities and enhance workflow performance. Collaborate with analytics and engineering teams to ensure data alignment across business reporting systems. Apply a build from scratch mindset to design scalable, modernized workflows rather than direct lift-and-shift migrations. Identify dependencies on data sources not yet migrated and assist in prioritization efforts with the engineering team. Opportunity to lead a high-impact data migration initiative at a top-tier gaming and entertainment organization. Exposure to modern data platforms and architecture, including Databricks and advanced analytics workflows. Collaborative environment with visibility across analytics, operations, and engineering functions. Ability to contribute to the foundation of scalable, efficient, and data-driven decision-making processes. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.
Data Engineer Data Migration Project
6-Month Contract (ASAP Start)
Hybrid Manhattan, NY (3 days / week)
We are seeking a Data Engineer to support a critical data migration initiative for a leading sports entertainment and gaming company headquartered in Manhattan, NY. This role will focus on transitioning existing data workflows and analytics pipelines from Amazon Redshift to Databricks, optimizing performance and ensuring seamless integration across operational reporting systems. The ideal candidate will have strong SQL and Python skills, experience working with Salesforce data, and a background in data engineering, ETL, or analytics pipeline optimization. This is a hybrid role requiring collaboration with cross-functional analytics, engineering, and operations teams to enhance data reliability and scalability.
Minimum Qualifications :
- Advanced proficiency in SQL, Python, and SOQL
- Hands-on experience with Databricks, Redshift, Salesforce, and DataGrip
- Experience building and optimizing ETL workflows and pipelines
- Familiarity with Tableau for analytics and visualization
- Strong understanding of data migration and transformation best practices
- Ability to identify and resolve discrepancies between data environments
- Excellent analytical, troubleshooting, and communication skills
Responsibilities :
Whats in it for you?
EEO Statement :
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New York New York • New York, NY, United States
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