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Senior Data Engineer

Ziff Davis

Software & Data

IT & Telecoms GHS Confidential
New
1 week ago

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:   

  • Facilitate and execute the collection, processing, and analysis of virtually all business data  
  • Build ETL processes, across a wide array of just about every kind of database system   
  • Write code to interact with an untold number of internal and external APIs and systems  
  • Design complex queries to crunch data and produce summary and aggregate datasets  
  • Combine and correlate large datasets from multiple data sources, and analyze for integrity  
  • Build and maintain various self-service data platforms and tools for internal use  
  • Help maintain the cloud-based Data Warehouse central to our efforts  
  • Generally speaking, manipulate and move a lot of data around from one place to another  
  • You think in SQL  
  • You daydream about data schema  
  • You wish you could automate everything  
  • You find it offensive when a system lacks a robust API  
  • You’re more likely to get distracted by a good chart than your social media feed  
  • You don’t think there’s anything you couldn’t do, when it comes to software development  


Job Qualifications:

  • 7+ years of professional software development  
  • At least 5 of those years specifically working directly with data  
  • At least 3 years working in the cloud (AWS, GCP, or Azure) preferred  
  • At least 3 years working with Big Data concepts and systems, preferred  
  • At least 1 year working with Apache Airflow  
  • Some exposure to non-relational or NoSQL database systems  
  • Deep knowledge of and experience with multiple SQL dialects  
  • Fluency in Python  
  • Proficiency with shell scripting and Linux  
  • Knowledge of modern web technologies and architecture  
  • Foundational understanding of object-oriented programming concepts  
  • Exceptional communication, both with technical and non-technical stakeholders  
  • Experienced collaboration skills, up/down/across a mid-sized organization  
  • Ability to thrive in a landscape of rapid evolution and varied tasks  
  • Ability to see tasks thru from requirements gathering all the way to deployment  
  • A strong tendency to be self-driven and self-motivated  
  • Significant Experience with at least one of  Java, JS/ECMAScript, C/C++, C#  
  • PostgreSQL, MySQL  
  • AWS: SQS, SNS, Lambda, DynamoDB, or similar from Google Cloud  
  • AWS Redshift, Google BigQuery, Snowflake  

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