AWS Business Intelligence Engineer

Mueller Water Products
Job LocationUS
Job TagComputer Science


Atlanta, GA


The AWS Business Intelligence Engineer will have responsibility across the entire Cloud Data stack. The BIA will use their experience to build and optimize data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curate data sets for Data Scientists and Business Intelligence users. Additional responsibilities include building AWS Data Lake and on-prem to Cloud Data Migration projects.


  • 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
  • Manages large volumes of data, data modeling, and metadata to support ad-hoc and pre-built reporting
  • Train and support business users in achieving unique data insights.
  • 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


  • Analytical problem-solving skills
  • Ability to manage large volumes of data, modeling data, and metadata
  • Experience in Lake Formation Orchestration, Maintain and enhance models for SDLC using CI/CD pipelines in AWS
  • Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Streaming, etc.
  • Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB or Cassandra
  • Functional and scripting languages: Python, Java, Scala, etc. Advanced SQL
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ stores
  • Articulate with great communication and presentation skills
  • Team player that can train as well as learn from others


  • Bachelor (Graduate preferred) degree in Computer Science, Mathematics, Informatics, Information Systems, or another quantitative field
  • 3+ years of experience in a Data Engineer role in a cloud-native eco-system
  • 2+ years working experience in AWS Glue ETL, Redshift and Redshift Spectrum, Step Function, Athena
  • Experience building and optimizing ‘big data’ pipelines, architectures, and data sets
  • Experience supporting and working with external customers in a dynamic environment

Preferred Qualifications:

  • Experience in Athena and Quicksight is definite plus