LLamasoft Big Data Engineer in Ann Arbor, Michigan
Big Data Engineer
Ann Arbor, MI
Are you looking for a stimulating company atmosphere where your efforts will have a significant impact on redefining the supply chain analytics market to fuel our company's success? We?re driven by people who have a passion for technology and innovation; we are a fun, results-driven company that thrives on delivering value to customers and making a difference in the world leveraging our solutions. If this sounds like you, come join our herd!
At LLamasoft, our mission is to elevate lives and organizations through the science of smarter decision-making. Powered by AI and advanced analytics, our enterprise decision platform enables business leaders to solve problems in new ways and make smarter decisions faster as their business and operating models change. We are pioneering the use of a true digital twin of the extended supply chain combined with our powerful algorithms and deep supply chain, data engineering, AI and operational expertise. LLamasoft deploys decision solutions through enterprise ready apps, custom apps, and an extensible no-code App Studio.
LLamasoft is looking for an experienced Big Data Engineer to join our amazing team and be part of our next-gen supply chain cloud platform. As a Big Data engineer, you will work as part of the Data Architecture team and interact closely with other data engineers & DBA?s, Software Development, Architecture, DevOps, and Platform Success to build out our next-generation data architecture for our cloud platform in AWS and Azure.
You will be directly involved in the execution of tactical and strategic data related projects. You will develop data infrastructure and data pipelines to support data ingestion & enrichment, analytics, and visualization uniting data across disparate sources and scales, from small ad hoc datasets to cloud scale datasets. You will have the opportunity to learn, grow and prosper with the team along with maintaining the work-life balance and highest work ethics.
? Design, maintain and normalize multi-tenant enterprise data warehouse
? Ensure our data architecture supports the requirements of the business
? Help improve the volume, velocity and veracity of our data
? Implement cloud based ETL/ELT architecture for ingesting high volume data
? Enabling bi-directional data pipelines using API?s and cloud-based tools
? Implement best practices for data collection, partitioning and performance
? Ability to produce aggregated datasets for efficient cross-business analysis
? Mapping and designing ingestion and transformation from various data source
? Implement data modeling, security and data management best practices
? Bachelor?s in computer science, Software Engineering or related technical field
? 3+ years of experience in Big Data projects using Hadoop/Spark or similar technology
? Understanding of data warehousing and data lake design patterns
? 3+ years of data engineering / development / integration experience
? Build ETL pipelines with Kafka, Spark and RDBMS (MSSQL preferred)
? Experience with open source workflow tools like airflow, apache Nifi, mlflow and Apache Spark ? Vendors integration with Databricks, Qubole, AWS Glue or Azure DF
? Fluent in SQL and at least one scripting language (Python, Java or Scala)
? Cloud computing on AWS, Azure, GCP
? Should have experience in leading teams and working with cross functional teams
? Ability to work with geographically distributed teams
? Strong oral and written communication
Over 750 of the world?s most innovative companies rely on LLamasoft to design operational strategies to achieve profitability and growth goals. In addition to helping our customers identify billions of dollars in value, LLamasoft partners with humanitarian organizations, government entities and the World Economic Forum, using our solutions to design and optimize health supply chains around the globe in order to reach our goal of positively impacting 100 million lives by 2022.
LLamasoft is an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin.
If you require reasonable accommodation in completing this application, interviewing, or otherwise participating in the employee selection process, please direct your inquiries to firstname.lastname@example.org.