Job Description

Job Title: Azure Synapse Data Engineer

Role Type: 12+ Month ctr

Location: San Antonio, TX (4 days onsite)

Position Summary: Data Engineering group is seeking a Senior Data Engineer to join our team. The Data Engineer will play a key role in building and maintaining end-to-end data pipelines for analytics solutions within company Insights & Discovery Platform, based on Microsoft Azure Cloud and Azure Synapse Analytics.

Key Responsibilities:

· Design, develop, and implement analytics solutions on the Microsoft Azure Synapse Analytics Platform.

· Develop ETL/ELT processes to collect and integrate data from various sources, ensuring data quality and pipeline performance for large volume data ingestion.

· Utilize data preparation, integration, storage, and analytics tools within the Azure landscape.

· Drive automation of repeatable data preparation tasks to minimize manual data management processes.

· Partner with business unit IT teams to gather and document analytics solution requirements.

· Document and provide solution options and recommendations for analytics solutions.

· Collaborate with cloud service providers, data science, data governance, and other IT and business teams to deliver analytics solutions.

· Participate in MPC's scaled agile framework for data engineering product delivery by engaging in all relevant tasks and ceremonies.

· Provide troubleshooting, analysis, and resolutions for existing solutions, including routine production support issues and major/minor enhancements.

Education and Experience:

· Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, or a related field.

· Minimum of 8-10 years of hands-on experience in building data pipelines, data models, and maintaining/supporting enterprise data warehouse solutions.

· Experience in scaled agile framework for data engineering product delivery.

· Microsoft Azure certifications in various analytics technologies are a plus.

· Working knowledge/familiarity with Oil & Gas industry processes is a plus.

Skills:

· Strong SQL experience, data modeling, data warehouse, and OLAP concepts.

· Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, CI/CD.

· Familiarity with data integration tools (e.g., Qlik Replicate) and data modeling tools (e.g., Erwin) is a plus.

· Familiarity with data lake medallion architecture and concepts of Unified Data Models.

· Familiarity with contextualization products (e.g., Cognite) is a plus.

· Experience with visualization tools such as Microsoft PowerBI and Tableau is desired.

· Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus.

· Experience with Microsoft SSIS, SSRS, SSAS is a plus.

Competencies:

· Strong communication and presentation skills – Ability to present and communicate with technical and non-technical stakeholders at different levels within IT and business departments during various stages of solution design, development, and implementation.

· Collaboration & Building Partnerships – Developing and leveraging relationships within and across work groups to achieve results.

· Drive for Results – Taking ownership of assigned work and prompt action to accomplish objectives; taking actions to achieve goals beyond what is required; being proactive.

· Continuous Improvement – Originating actions to improve existing conditions and processes, identifying improvement opportunities, generating ideas, and implementing solutions.

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