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About the Role

Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms. Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements. Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets. Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking. Develop and support BI semantic layers to ensure accurate and scalable reporting solutions. Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms. Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities. Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

Responsibilities

Support data analytics, reporting, and data engineering activities across enterprise data lakes, data warehouses, and business intelligence platforms.
Design, develop, and maintain ETL/ELT data pipelines to support reporting and analytics requirements.
Utilize Databricks, Oracle Data Integrator (ODI), SQL, and Python to integrate, transform, and validate large datasets.
Perform data quality assessments, troubleshoot data issues, and support data governance efforts through metadata documentation and lineage tracking.
Develop and support BI semantic layers to ensure accurate and scalable reporting solutions.
Create and maintain dashboards and reports using tools such as Power BI, Oracle Analytics Server (OAS), Tableau, and other enterprise reporting platforms.
Monitor production data pipelines, troubleshoot query performance issues, validate dashboard data, and support ongoing operations and maintenance activities.
Collaborate with business stakeholders, analysts, and technical teams to deliver scalable data and reporting solutions.

Requirements

Must be able to OBTAIN and MAINTAIN a Federal "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse.
Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related technical field.
Three (3) or more years of professional experience supporting data analytics, reporting, data engineering, or business intelligence initiatives.
Hands-on experience supporting enterprise data lakes, data warehouses, and analytics platforms.
Strong expertise with Databricks.
Strong expertise with ETL/ELT development and orchestration.
Strong expertise with Oracle Data Integrator (ODI).
Strong expertise with SQL.
Strong expertise with Python.
Strong expertise with Data integration and transformation.
Strong expertise with Data quality validation and monitoring.
Strong expertise with Metadata management and documentation.
Strong expertise with BI semantic layer development and support.
Experience developing reports, dashboards, and visualizations using Power BI, OAS, Tableau, or similar BI tools.
Knowledge of production support processes, including pipeline monitoring, issue resolution, defect management, and operational maintenance.

Skills

Databricks
ETL/ELT development and orchestration
Oracle Data Integrator (ODI)
SQL
Python
Data integration and transformation
Data quality validation and monitoring
Metadata management and documentation
BI semantic layer development and support
Power BI
Oracle Analytics Server (OAS)
Tableau
AI-enabled tools and technologies
Data modeling and optimization
Anomaly detection
Pipeline automation
Analytics acceleration
SEMOSS
Analytical skills
Problem-solving skills
Communication skills
Cloud-based data and analytics environments
Data governance
Master data management
Modern data architecture best practices

Experience Level

Three (3) or more years of professional experience

Education Level

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related technical field.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus

About the Company

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.
Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event.
Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline.
If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com.
Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Equal Opportunity

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.