Job description

Position Overview We are seeking a seasoned and results-driven Senior Data & BI Engineer to lead the development of scalable, cloud-native analytics solutions. This role requires deep technical expertise in BI Solution development in Azure, with a strong understanding of modern data architecture and enterprise reporting. The ideal candidate will be a strategic thinker with strong hands-on experience in building robust data pipelines and delivering actionable insights to business stakeholders. -- No Third Parties Key Responsibilities Engage with business users to gather requirements and translate them into comprehensive data and BI solutions. Design and implement scalable data pipelines using PySpark and Azure Data Factory, integrating with Azure Data Lake, Synapse Analytics, DataBricks, and Microsoft Fabric. Develop and optimize data models and visualizations using Power BI, ensuring performance and usability across business units. Lead modernization efforts by migrating legacy BI systems to cloud-based platforms. Collaborate with cross-functional teams to ensure alignment with architectural standards and business objectives. Oversee system testing, user acceptance testing (UAT), and production deployments. Maintain and enhance existing BI solutions, ensuring reliability and scalability. Document data flows, transformation logic, and architectural decisions. Communicate effectively with stakeholders regarding upcoming changes and coordinate change management activities. Required Qualifications Minimum 10 years of experience in data engineering and BI development. Proven expertise in PySpark for data transformation and pipeline development. Extensive experience with Azure Data Services, including Data Factory, Data Lake, Synapse,Microsoft Fabric and DataBricks. Strong proficiency in Power BI dashboard development and data modeling. Solid understanding of cloud architecture, data governance, and performance optimization. Advanced SQL skills with a focus on query performance and scalability. Experience with dimensional modeling (Star and Snowflake schemas). Excellent communication and collaboration skills in cross-functional environments. Ability to manage multiple priorities in a dynamic and fast-paced setting. Preferred Qualifications Familiarity with SSIS, SSRS, and SSAS (tabular and multi-dimensional models). Experience with DAX and MDX query languages. Exposure to Power Apps, Data Flows Knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their application in data analytics. Have worked with Azure ML Services, and understand OpenAI LLM Model. Experience implementing role-based and row-level security in BI platforms. Job Type: Contract Pay: $90,000.00 - $120,000.00 per year Ability to Commute: • Houston, TX 77001 (Required) Ability to Relocate: • Houston, TX 77001: Relocate before starting work (Required) Work Location: In person

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