Job Summary
The Data Engineering team, working closely with Data Science and Data Analytics, is at the nexus of the P&P division’s engineering efforts. Our team’s role within the company is vital and important, as we become an increasingly data-driven business. We collaborate with a varied set of our colleagues across the organization, with teams ranging from Web & App Development to Sales & Marketing and most others in between.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 7 years
Job Description/Requirements
Expectations for Success:Â Â
- Facilitate and execute the collection, processing, and analysis of virtually all business data Â
- Build ETL processes, across a wide array of just about every kind of database system Â
- Write code to interact with an untold number of internal and external APIs and systems Â
- Design complex queries to crunch data and produce summary and aggregate datasets Â
- Combine and correlate large datasets from multiple data sources, and analyze for integrity Â
- Build and maintain various self-service data platforms and tools for internal use Â
- Help maintain the cloud-based Data Warehouse central to our efforts Â
- Generally speaking, manipulate and move a lot of data around from one place to another Â
- You think in SQLÂ Â
- You daydream about data schema Â
- You wish you could automate everything Â
- You find it offensive when a system lacks a robust APIÂ Â
- You’re more likely to get distracted by a good chart than your social media feed Â
- You don’t think there’s anything you couldn’t do, when it comes to software development Â
Job Qualifications:
- 7+ years of professional software development Â
- At least 5 of those years specifically working directly with data Â
- At least 3 years working in the cloud (AWS, GCP, or Azure) preferred Â
- At least 3 years working with Big Data concepts and systems, preferred Â
- At least 1 year working with Apache Airflow Â
- Some exposure to non-relational or NoSQL database systems Â
- Deep knowledge of and experience with multiple SQL dialects Â
- Fluency in Python Â
- Proficiency with shell scripting and Linux Â
- Knowledge of modern web technologies and architecture Â
- Foundational understanding of object-oriented programming concepts Â
- Exceptional communication, both with technical and non-technical stakeholders Â
- Experienced collaboration skills, up/down/across a mid-sized organization Â
- Ability to thrive in a landscape of rapid evolution and varied tasks Â
- Ability to see tasks thru from requirements gathering all the way to deployment Â
- A strong tendency to be self-driven and self-motivated Â
- Significant Experience with at least one of Java, JS/ECMAScript, C/C++, C# Â
- PostgreSQL, MySQLÂ Â
- AWS: SQS, SNS, Lambda, DynamoDB, or similar from Google Cloud Â
- AWS Redshift, Google BigQuery, Snowflake Â
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