Salary: $90,000 - $125,000
Imagine working at the forefront of innovation in fluid-flow technology, with over 1,400 colleagues across the globe, and contributing to a legacy of excellence that spans eight manufacturing facilities on four continents. Armstrong Fluid Technology is more than just a leader in our industry; we are a community of the brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our planet.
As part of our team, you'll be immersed in an environment that fosters growth, creativity, and collaboration. Here, you'll have the opportunity to push boundaries, tackle exciting challenges, and develop cutting-edge solutions that promote energy efficiency and reduce environmental impact. Every day offers the chance to make a meaningful contribution to a more sustainable future, driving innovations that help lower global carbon footprints. Together, were creating a legacy that goes beyond businessone thats changing the world for the better.
This role involves hands-on work with data from various sources, including SQL servers, APIs, and more. The ideal candidate will be responsible for cleaning and transforming data, creating rich PowerBI reports, developing data warehouses, and performing ETL operations. Familiarity with Python and AWS services related to data management is essential, while knowledge of C# and .NET is a plus.
Key Responsibilities:
- Extract, transform, and load (ETL) data from multiple sources such as SQL servers, APIs, and other data repositories.
- Clean and preprocess data to ensure accuracy and reliability.
- Design, develop, and maintain data warehousesto support business intelligence and analytics.
- Optimize data warehouse performanceand ensure data integrity and security.
- Design and create comprehensive PowerBI reports and dashboardsto visualize data insights and support decision-making processes.
- Implement advanced PowerBI featuressuch as DAX calculations, custom visuals, and data modeling to enhance report functionality.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions.
- Utilize Python for data manipulation and automation tasks.
- Leverage AWS services for data storage, processing, and management.
- Implement best practices for data governance and security.
- Perform data analyticsto identify trends, patterns, and insights that drive business strategies and improvements.
- Utilize containers and Kubernetesfor deploying and managing data solutions.
Required Background:
- Bachelors degree in computer science, Information Technology, Data Science, or a related field.
- Minimum of 3-5 years of experience in data engineering, data analysis, or a similar role.
- Proficiency in SQL and experience with SQL servers.
- Strong knowledge of Python and its data-related libraries (e.g., Pandas, NumPy).
- Experience with AWS services such as S3, Redshift, Glue, and EKS.
- Extensive experience with PowerBIfor report creation, visualization, and data modeling.
- Proven experience in designing, developing, and maintaining data warehouses.
- Understanding of ETL processes and data warehousing concepts.
- Familiarity with containers and Kubernetes.
- Knowledge of C# and .NET is a plus.
Skills and Competencies:
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
- Ability to work independently and as part of a team.
- Detail-oriented with a focus on data accuracy and quality.
- Adaptable and able to manage multiple tasks simultaneously.
- Proficiency in data analyticstechniques and tools to derive actionable insights from complex datasets.
If you are passionate about data and eager to make an impact, we would love to hear from you!
