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Contract Collibra Developer information

What is the difference between Contract Collibra Developer vs Contract Data Analyst?

AspectContract Collibra DeveloperContract Data Analyst
Required CredentialsCollibra certifications, SQL, data management skillsData analysis certifications, SQL, Excel proficiency
Work EnvironmentData governance platforms, collaboration toolsData reporting tools, spreadsheets, databases
Employer & Industry UsageFinancial, healthcare, and tech sectors using CollibraVarious industries focusing on data insights and reporting

The Contract Collibra Developer primarily focuses on implementing and maintaining Collibra data governance tools, requiring specific platform knowledge. In contrast, a Contract Data Analyst emphasizes analyzing data sets and generating reports, often using different tools. Both roles require strong SQL skills but differ in platform expertise and daily tasks, catering to different aspects of data management and analysis.

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Contract Collibra Developer jobs near you
Infographic showing various Contract Collibra Developer job openings in the United States as of July 2026, with employment types broken down into 13% Locum Tenens, 6% Internship, 52% As Needed, 10% Full Time, 1% Contract, and 18% Nights. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution.

Data Engineer-- Phoenix, AZ (Hybrid) 85255 on W2

Amicis Global

Scottsdale, AZ • On-site

$70 - $80/hr

Contractor

Re-posted 7 days ago

Job description

Title: Data Engineer
Location: Phoenix, AZ (Hybrid) 85255
Experience: 10+ Years
Duration: 12+ Months of contract
Key Responsibilities:
• Solid experience with Database design practices and data warehousing concepts.
• Design, develop, and maintain data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.
• Hands-on experience delivering data reporting requirements on On-Prem SQL Servers using SSIS and/or other integration processes.
• Expertise with coding and implementing data pipelines in cloud-based data infrastructure in batch and streaming ETL using Azure Data Factory, Spark, Python, Scala on Databricks.
• Experience working with Azure data lake storage and Azure SQL Databases.
• Experience working with Databricks Delta Lake, Medallion Architecture, and Unity Catalog.
• Optimize data ingestion and transformation processes to ensure efficient and scalable data flows. Monitor and optimize database performance, including query tuning and index optimization.
• Develop and maintain data models, schemas, and data dictionaries for efficient data storage and retrieval.
• Perform data analysis, data profiling, and data cleansing to ensure data quality and accuracy,
data validation, quality checks, and troubleshooting to identify and resolve data-related issues.
• Develop Power BI dashboards, reports, and visualizations to effectively communicate data insights. Implement data transformations, data modeling, and data integration processes in Power BI.
• Create and maintain technical documentation related to database structures, schemas, and reporting solutions.
• Experience with MS Office tools like Excel, Word, and PowerPoint.
• Experience working with build and deploy tools, Azure DevOps, GitHub, and Jenkins.
• Experience working on an Agile Development team and delivering features incrementally using Jira and Confluence.
• Stay up to date with industry trends and best practices in data engineering, Power BI, and proactively recommend and implement improvements to our data infrastructure.
• Ability to multitask, be adaptable, and nimble within a team environment.
• Strong communication, interpersonal, analytical, and problem-solving skills.
Preferred:
• Experience with API/REST, JSON
• Experience in Banking and Financial Domains.
• Industry certification – Azure/GCP/AWS
• Familiarity with a variety of programming languages, like Java, JavaScript, and C/C++.
• Familiarity with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix, or Windows shell is preferable.
• Experience with Power Automate and Power Apps.
• Experience with Collibra Data Lineage and Data Quality Modules.
Education:
Bachelor's degree in computer science or information systems, along with work experience in a related field.