About this opportunity
PTR Global lists this Senior Data Analyst, Research and Development opportunity in richmond, va, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Position: Senior Data Science Analyst
Contract
The Senior Data Science Analyst will play a critical role in designing, building, and optimizing scalable, reliable data pipelines at an enterprise level. This position requires hands-on expertise in data engineering, technical leadership, and a deep understanding of data warehousing, ETL/ELT processes, and data governance. The role involves working closely with architecture and platform teams to enhance the overall data ecosystem while ensuring high standards for quality, security, and performance.
Design and build end-to-end data pipelines and ETL/ELT solutions to support analytics, reporting, and AI/ML use cases.
Develop, test, and deploy scalable patterns for batch and incremental data processing.
Optimize data modeling, transformation logic, and performance strategies.
Evaluate and integrate tools, frameworks, and platform capabilities to meet project requirements.
Implement enterprise-grade error handling, restartability, and monitoring for data pipelines.
Ensure data pipelines meet security, access control, and governance requirements.
Collaborate with governance and DataOps teams on metadata, lineage, and auditability.
Lead performance tuning efforts across pipelines, warehouses, and workloads.
Support production troubleshooting and root cause analysis for data quality incidents.
Participate in design and code reviews to enforce quality and best practices.
Partner with infrastructure, application, and architecture teams to design complex data transformations.
5 to 7+ years of Data Engineering experience.
~ Bachelor's degree or higher in Computer Science, Information Systems, Mathematics, or a related field.
~ Advanced expertise in SQL, ELT patterns, and performance tuning.
~ Strong experience with Oracle Exadata, Snowflake, or similar cloud/on-prem data warehouses.
~ Hands-on experience with enterprise ETL/ELT platforms (e.g., Talend, dbt, Informatica).
~ Deep understanding of data warehousing architecture and dimensional modeling.
~ Proficiency in scripting languages such as Python and shell scripting.
~ Experience with data virtualization tools (e.g., Denodo, Composite, Dremio, Starburst).
~ Experience supporting AI/ML or advanced analytics pipelines.
Cloud platform experience (AWS, Azure, or GCP).
Experience influencing enterprise data standards or reference architecture.
Expertise in optimizing cost and performance in cloud data warehouses.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.
the skills, education, training, credentials, and experience of the candidate; Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. To report any concerns, please email us at the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.