Data Consumption Engineer - Hybrid

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.  

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. 

Dow has an exciting and challenging opportunity for a Data Consumption Engineer on the Data & Analytics Platforms team within our Enterprise Data & Analytics Organization. This position is located in Houston, TX or Midland, MI. The role will align to Dow's Design Your Day approach and allows employees flexibility by choosing when to work remotely and when to attend on-site activities based on project work and role needs.

About you and this role

As a Data Consumption Engineer specializing in data and analytics solutions, your primary focus will be responsible for consuming, analyzing, and deriving insights from data using the Azure Databricks platform. You will work closely with data engineers, data scientists, and other stakeholders to understand data requirements and deliver actionable insights. Your role involves performing data analysis, exploring and visualizing data, writing and optimizing SQL or Spark queries, and creating interactive dashboards, alerts, and reports. You will leverage the capabilities of Azure Databricks to explore patterns, correlations, and anomalies in data to ensure compliance with data governance policies, optimize data retrieval and analysis processes, and effectively communicate data insights to stakeholders.                         

Responsibilities

• Optimizes data retrieval and analysis processes in Azure Databricks for efficiency and scalability 
• Performs data analysis using Azure Databricks to uncover patterns, correlations, and insights 
• Writes and optimizes SQL or Spark queries to extract, transform, and manipulate data in Azure Databricks
• Uses Azure Databricks to explore and model data for predictive analytics or machine learning purposes 
• Works with cross-functional teams to develop and implement cloud-based solutions across the Application Development Lifecycle (Development/Test/Production) 
• Collaborates with functional and business teams ensuring best practices are maintained for consuming data and using capabilities of the cloud data platform  
• Continuously explores and adopts new technologies and best practices to improve our data infrastructure 
• Provides technical expertise and guidance to team members and stakeholders  
• Ensures Change Management and Configuration Management standards are implemented and executed
• Documents operational support procedures
• Ensures technical, architecture, and application designs aligns to company IT architecture and security standards 

Qualifications

• A minimum of a Bachelor's degree, or 5 years relevant experience, or relevant military experience at an E6 rank/Petty Officer 2nd Class or higher is required
• A minimum of 2 years of relevant data platform experience (data ingestion, pipeline orchestration)
• Experience designing and deploying in Microsoft Azure’s Environment  
• A minimum requirement for this U.S. based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process

Preferred Skills

• A degree discipline in Computer Science, Information Systems, Engineering, or related technical field
• A minimum of 2 or more years of relevant experience in Databricks technology 
• Proficient knowledge of various cloud services from Microsoft Azure  
• Experience building and deploying cloud solutions that adhere to the core principles of DevOps or DevSecOps processes and tools
• Demonstrated experience with design patterns for both BI and AI solutions
• Demonstrated knowledge and experience in Agile software development methodologies and work processes, especially Scrum 
• Proficiency in various Azure services such as Azure Data Factory, Azure App Servi