VP II, AI, Machine Learning

🕒 4 days ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $202k - $210k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

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Circana

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

At Circana, we measure and accelerate demand. It’s that simple. We partner with brands to address their toughest business challenges through a combination of our big data, AI data-visualization platform, and deep expertise across more than 25 industries. Our clients count on us to guide them on their next steps, and the steps after that, so they can innovate, meet consumer demand, and grow.

📋 Description

• Designing, building, and delivering highly scalable big data and ETL solutions across distributed environments. • Supporting projects at various and unanticipated client worksites throughout the United States. • Working 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. • Preparing technical design documentation for implemented solutions. • Identifying and resolving data pipeline issues and providing timely solutions.

🎯 Requirements

• Design and implement highly scalable ETL applications using Hadoop and Big Data ecosystems. • Develop new scripts, tools, and methodologies to streamline and automate ETL workflows. • Deliver big data solutions using Spark, Python, Scala, SQL, and Hive. • Design and create use cases and scenarios for functional, integration, and system testing. • Collaborate closely with Data Science, QA, Operations, and other teams to meet aggressive deadlines. • Participate in daily Agile/Scrum meetings and conduct code reviews. • Coordinate with cross-functional operational teams to manage end-to-end data delivery. • Write efficient, reusable, and well-documented code. • Prepare technical design documentation for implemented solutions. • Identify and resolve data pipeline issues and provide timely solutions for incorrect or undesired system behavior using ILD solutions. • Work within complex technical environments that include: ETL Spark applications in PySpark and Scala Spark architecture, data frames, and performance tuning Hadoop ecosystem tools such as Flume, MapReduce, and HDFS Relational databases (Oracle, PostgreSQL) Big Data querying tools (Hive, Pig, Impala) Databricks, distributed computing principles, and Lambda Architecture Cloud platforms such as Microsoft Azure

🏖️ Benefits

• paid time off • medical/dental/vision insurance • 401(k)