AWS Data Engineer (Non-Sponsorship Eligible Role)
Mueller Water Products

AWS Data Engineer (Non-Sponsorship Eligible Role)

Company Overview:

Access to clean water is critical to sustain life. For over 160 years, Mueller has been providing critical water infrastructure products that support populations globally. Aging infrastructure, resource scarcity, population growth and growing environmental sustainability efforts provide an opportunity to change the world and make an impact that matters.

Job Overview:

We are seeking an AWS-Data Engineer with strong experience across the entire Cloud Data stack. The ideal candidate should have extensive experience in data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. Experience in building Data Lake. This candidate should also have excellent problem-solving ability dealing with large volumes of data and various data sources. While the ideal candidate will work out of the Mueller Headquarters in Atlanta (Sandy Springs area), remote work is an option for this report. It will report to the Director of Enterprise Data Engineering. This position is not eligible for immigration sponsorship at this time.

Key Responsibilities:

• Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and 'big data' technologies.
• Optimize various RDBMS engines in the cloud and solve customers' security, performance, and operation problems.
• Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video, and documents, and in between.
• Work with customers' and internal stakeholders including the Executive, Product, Data, Software Development, and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.
• Understand and Develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions

Qualifications:

• 3+ years of experience in a Data Engineer role in a cloud-native eco-system.
• Bachelor (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field.
• 3+ years working experience in AWS Glue ETL, Redshift, Step Function, Athena
• Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Experience in Lake Formation Orchestration, Maintain and enhance models for SDLC using CI/CD pipelines in AWS.
• Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB.
• Functional and scripting languages: Python, Advanced SQL.
• Experience building and optimizing 'big data' pipelines, architectures, and data sets.

Individuals interested in this position should apply through the Mueller Water Products' Career Portal (https://muellerwaterproducts.com/careers) or the website where this position is being viewed. Resumes mailed, faxed, or dropped off will not be reviewed. Mueller will contact desired applicants to proceed in the hiring process. No recruiter contacts please.

Mueller offers an excellent salary and benefits package. Current benefit offerings include: medical and dental insurance, 401K plan with company match, Employee Stock Purchase Plan program, short-term disability benefits, vacation, tuition reimbursement program, company-provided life insurance, long-term disability and supplement insurance at group rates, and much more.

Mueller is an Equal Opportunity Employer.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other category protected by law.

---