- Design, build & maintain scalable data pipelines in Azure to ensure their compliance with up-time, security, and privacy.
- Actively contribute to both data & application governance initiatives by designing and implementing policies, procedures, and best practices
- Implement API-based integrations to support continuing increases in data volume and complexity
- Collaborate with report developers/analysts and business teams to improve data models that feed BI tools and increase data accessibility.
- Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python and SQL
- Assist in the design of processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Troubleshoot data pipeline related issues and oversee their resolution.
- Identify ways to improve data reliability, efficiency, and quality.
- Collaborate with all business units and development teams to develop strategy for long term data platform architecture.
- Familiarity with one or more DevOps tools (Git, Jenkins, CI/CD, Jira)
- Identify and integrate external data sources from various source formats.
- Assist and oversee other projects as assigned
- Mastery in converting raw data into valuable datasets
- Excellent prioritization skills
- Excellent problem solving and troubleshooting skills
- Process oriented with great documentation skills
- Excellent oral and written communication skills with a keen sense of customer service
- BS or MS degree in Computer Science or a related field
- Microsoft DP-203 certification preferred
- 5+ years of database architecture and dimensional data modeling
- 2+ years assisting in Master Data Management efforts, including metadata management.
- 5-7+ years of data management experience
- 5+ years of data migration activities
- 5+ years of Python and SQL experience
- 3+ years working in an Agile development environment pairing DevOps with CI/CD pipelines.
- 3+ years with data processing systems in Azure (Data Lake storage, Data Bricks, Data Factory, Event Hubs, etc.)
- Experience in automotive repair and/or insurance industries
- Cloud certification on any platform a plus
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Senior Data Engineer/C2H100% onsite role - Irving, United States - Prudent Technologies and Consulting, Inc.
Description
An Excellent Contract to Hire opportunity 100% onsite for a Senior Data Engineer with our direct client in Irving, TX
Job Title: Senior Data Engineer/C2H 100% onsite role
Salary : $110k PA to $130k PA DOE
Sorry Client cannot sponsor Visas (Like H1 or EADs) at this time - Those authorized to work in the United States without sponsorship are encouraged to apply
Local Candidates in Dallas, TX will be considered
Sr. Data Engineer : As a member of the Data and Analytics team, the Sr. Data Engineer role will contribute to the success in both the daily operations and long-term strategy of the organization's data assets. The optimal candidate brings a business-centric mindset to data architecture efforts and has a track record of being a growth enabler.
Job Responsibilities:
Qualifications/Skills:
Education/Experience:
Preferred Experience:
Nice to have:
If interested in this role, please call me at and apply here or send your resume to
