Wise Skulls

Job Description Hiring: Lead Data Engineer - Databricks Manhattan, NY Hybrid Remote Also Available We're looking for an experienced Lead Data Engineer with strong hands-on expertise in Databricks, SQL, Python, and PySpark to design and optimize scalable data pipelines and enterprise data platforms. The ideal candidate will provide technical leadership and implement data engineering best practices to support analytics, digital products, and AI-driven use cases. Location: New York, NY (3 days/week or US Remote) Experience: 6-12 Years Interview Process: 3 Rounds, Including One Onsite Round in NY/NJ or at Any Client Office Across the US Work Authorization: USC & GC Candidates Only Key Skills: 6+ years of data engineering experience with substantial hands-on Databricks expertise Strong proficiency in SQL, Python, and PySpark Experience designing and developing scalable data pipelines using Medallion Architecture Strong understanding of Databricks Lakehouse architecture, Delta Lake, and Unity Catalog Experience with batch and incremental data processing, workflow orchestration, and data transformation Expertise in SQL query optimization, distributed processing, and performance tuning Experience with data quality, observability, lineage, and production troubleshooting Familiarity with Git, CI/CD, and production deployment practices Experience with AWS services, particularly S3, is a plus Knowledge of Auto Loader, Structured Streaming, CDC, Databricks Asset Bundles, or Apache Airflow is preferred Databricks Data Engineer Associate or Professional certification is a plus Experience with streaming, clickstream, or advertising datasets is an added advantage What We're Looking For: A technically strong Lead Data Engineer who can build production-grade Databricks solutions, optimize data pipelines for performance and cost efficiency, lead solution design and code reviews, and mentor engineers while delivering scalable and reliable data platforms. Interested? Apply now or DM us to explore this opportunity! You can share resumes at

Job Description Hiring: UAT Lead - Channel Fundamentals Coral Gables, FL On-site We're looking for an experienced UAT Lead to oversee UAT planning and execution, defect management, stakeholder coordination, and regional process alignment as part of a global sales technology transformation. Location: Coral Gables, FL - On-site Duration: 6 months (possibility of extension) Work Authorization: USC & GC Candidates Only Key Skills: Strong experience leading UAT planning, execution, test documentation, and release readiness Strong Salesforce Platform knowledge Hands-on experience with non-automated / manual testing Experience managing defects, enhancement requests, status tracking, reporting, and escalations Strong understanding of Consumer, Retail, Enterprise Channel, and End Customer Sales Experience with Sales Operations, Partner Management, and Enablement preferred Ability to analyze business requirements and translate them into effective testing approaches Strong stakeholder engagement and facilitation skills across global and regional business teams Experience participating in process harmonization and change management initiatives Excellent documentation, presentation, communication, and organizational skills Strong attention to detail, prioritization, and ability to work in a fast-paced global environment Language Requirements: English and Spanish - Mandatory Portuguese - Preferred What We're Looking For: A highly organized UAT Lead who can bridge business and technology teams, understand regional sales processes, challenge requirements effectively, coordinate testing activities, and ensure successful UAT execution and transition to the future state. Interested? Apply now or DM us to explore this opportunity! You can share resumes at

Job Description We're Hiring: Graph Database Specialist Location: Pittsburgh, PA (Onsite) Duration: 6+ Months Contract We are looking for an experienced Graph Database Specialist with strong hands-on expertise in Data Ontology, Knowledge Graphs, and Semantic Data Modeling to support enterprise-level graph database initiatives. Key Skills & Responsibilities: Strong experience in Data Ontology, Knowledge Graphs, and Semantic Data Modeling. Expertise in defining entities, relationships, taxonomies, and domain models. Hands-on experience with Graph Database technologies and enterprise Knowledge Graph solutions. Knowledge of RDF, SPARQL, and semantic technologies. Experience with Siemens Graph Studio (formerly Anzo) is highly preferred. Ability to integrate structured and unstructured data from multiple enterprise sources. Strong experience in ontology development, solution design, implementation, and troubleshooting. Ability to collaborate with architects, data teams, and business stakeholders. Ideal Candidate: An experienced professional who can independently lead and support Data Ontology and Knowledge Graph initiatives across multiple enterprise projects. Interested candidates: Please share your updated resume at