Sr. Big Data Engineers*| HQ: Chicago, IL

Let’s be unstoppable together!

 

Circana is a leading provider of technology, AI, and data solutions for consumer-packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

 

At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives.  We’re a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work.  Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified™ by Great Place To Work®. This prestigious award is based entirely on what current employees say about their experience working at Circana. Learn more at www.circana.com.

 

Role Overview

The Senior Big Data Engineer is responsible for designing, building, and delivering highly scalable big data and ETL solutions across distributed environments. This role supports projects at various and unanticipated client worksites throughout the United States, with headquarters based in Chicago, IL. The engineer works closely with cross-functional teams to develop, test, and deploy data solutions that meet business and operational needs, leveraging modern big data frameworks, cloud platforms, and agile development practices. Telecommuting is permitted.

 

Job Responsibilities

Sr. Big Data Engineers for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Design and implement highly scalable ETL applications on Hadoop and Big Data eco systems. Develop new scripts, tools, and methodologies for streamlining and automating ETL workflows. Deliver big data projects using Spark, Python, Scala, SQL, and Hive. Design and create use-cases and scenarios for functional testing, integration testing, and system testing. Work closely with Data Science, QA, Operations, and other teams to deliver on tight deadlines. Participate in daily agile and scrum meetings and code reviews. Coordinate with cross-functional operational teams for managing data delivery. Write efficient, reusable, and well documented code. Prepare technical design documents for solutions. Identify and address issues encountered from the data factory and provide timely solutions to incorrect or undesired results or behavior with ILD solutions. Technical environment: writing ETL Spark applications in PySpark and Scala, Flume; spark architecture, data frames, tuning spark; relational databases (Oracle, PostgreSQL); Python, SQL HQL, Hive; Data Bricks; managing software systems using Hadoop, MapReduce, HDFS and all included services; distributed computing principles; Big Data querying tools (Pig, Hive, Impala); data-warehousing and data-modeling techniques; Core Java, Linux, SQL, scripting languages; Cloud platforms (Azure); integration of data from multiple data sources; Lambda Architecture.

Requirements

Bachelor’s degree in Computer Science or Information Systems or Computer Engineering or any Engineering or related field plus 5 years of progressive experience as a Software Engineer/Developer or in Software Development required. Required Skills: experience writing ETL Spark applications in PySpark or Scala; spark architecture, data frames, tuning spark; relational databases (Oracle, PostgreSQL); Python, SQL HQL, Hive; Data Bricks; managing software systems using Hadoop, MapReduce, HDFS and all included services; experience with distributed computing principles; Big Data querying tools (Hive); data-warehousing & data-modeling techniques; Core Java, Linux, SQL, scripting languages; Cloud platforms (Azure); integration of data from multiple data sources; Lambda Architecture. Telecommuting permitted. (*Will also accept 4 years of university study in Computer Science or Information Systems or Computer Engineer plus 7 years of progressive experience as a Software Engineer/Developer or in software development in lieu of Bachelor's degree plus 5 years of progressive experience as a software Engineer/Developer or in software development.) 

 

Circana Behaviors

Beyond technical skills, exper