The company is looking to deliver large-scale data solutions that enable business innovation and operational efficiencies by performing data analysis and profiling to provide direction, standards, and implementation of data management solutions.
Requirements
- Designing, developing, and maintaining software applications using Python, PySpark, C-Sharp, JavaScript, and HTML for data processing, automation, and web-based applications.
- Developing and integrating applications using frameworks and containerization tools including Django and Docker to build and deploy scalable web applications.
- Designing and managing ETL pipelines, transforming raw data into structured datasets and managing the data across SQL databases and cloud-based environments.
- Utilizing API integrations and implementing automated web scraping solutions to extract and structure public data for analytics and reporting.
- Performing data cleaning, transformation, and feature engineering to prepare datasets for machine learning and analytics.
- Developing and deploying predictive models and applying statistical modeling, big data processing, and machine learning to support data-driven decision-making.
- Designing and developing interactive dashboards using Power BI, HTML and CSS and mapping spatial data using QGIS/ArcGIS.
Responsibilities
- Engage in full stack Microsoft BI development activities to deploy usable and measurable projects.
- Meet business needs leveraging tools such as SSIS, SSAS, stored procedures, Power BI, Power Platform alongside Microsoft Cloud computing tools such as Azure.
- Write complex Stored procedures to harmonize data sets for reporting.
- Setup dimensional/tabular data models.
- Setup and deploy row/object level security.
- Develop and publish Power BI reports.
- Design, build, and deploy tools and systems to enhance data storage efficiency, support marketing strategies, and optimize data processing pipelines.
Other
- This is a hybrid position working 3 days/week at the company office in Houston, Texas and 2 days/week from a home office.
- We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
