Data Engineer

Analytic Partners Recognized as a Leader by The Forrester Wave, Marketing Measurement & Optimization, Q3 2023 Report “Analytic Partners dominates with data-driven marketing insights.”    Analytic Partners is the leader in commercial analytics. Through a combination of expert guidance and technology, we help the world’s largest brands make forward-looking decisions to drive business growth. Our platform, GPS Enterprise, provides adaptive solutions for deeper business understanding, and empowers marketers to make proactive decisions that boost their brands. We turn data into expertise so that our customers can create powerful connections with their customers and achieve commercial success.    We’re growing fast, with global operations across our full-service offices in New York City, Miami, Broomfield, Charlottesville, Dallas, Dublin, London, Paris, Hamburg, Munich, Sydney, Melbourne, Singapore, and Shanghai.  

What You'll be Doing

• Data Engineers at Analytic Partners help turn data into expertise.  You will work closely with Data Science, Software Engineering and Product Management in an agile development environment to deliver high performance data solutions for data science, application, and analytic workloads.

• Responsibilities include:

• Analyzing business and product requirements and recommending solutions

• Collaborating with data scientists and software engineers on advanced analytics and modeling platforms

• Designing database schemas

• Building data pipelines

• Monitoring data feeds and operations

• Advising cross-functional teams on data best practices

What We Look for in You

• Required technologies:
• Python
• SQL
• Cloud computing (AWS & Azure)
• Linux shell scripting
• Bachelor's degree: Computer Science, Electrical Engineering, Mathematics, Statistics or related field.
• Master’s degree preferred
• 3+ years of professional experience working with big data.
• Experience working in an agile environment.
• Excellent written and verbal communication skills.
• Excellent understanding of data security and privacy best practices.
• Familiarity with data regulations including CCPA and GDPR.
• Familiarity with data science, machine learning, and modeling concepts.
• Familiarity with the following technologies is a plus:
• Apache Spark
• Apache Kafka
• Snowflake