Full-Time

Senior Data Engineer

Data Platform Team

Posted on 12/6/2023

GeoComply

GeoComply

501-1,000 employees

Geolocation security and compliance solutions

Data & Analytics
Financial Services
Entertainment

Senior

Toronto, ON, Canada

Required Skills
Python
NoSQL
Apache Spark
SQL
Apache Kafka
Java
AWS
MongoDB
Hadoop
Data Analysis
Google Cloud Platform
Requirements
  • 4+ years of experience as a Data Engineer in a similar role
  • Proficiency in Scala and Java programming languages (knowledge of Python would be a plus)
  • Strong technical background in software development, streaming technologies, data engineering, and big data technologies (such as Spark, Kafka, Hadoop, Delta Lakes, etc.)
  • Experience with Databricks for data exploration and analysis
  • Proficient in SQL and NoSQL databases (such as MongoDB, Druid, Neo4j, etc.)
  • Experience with data warehousing and ETL tools is a plus
  • Familiar with storage technologies
  • Adept at problem-solving and troubleshooting
  • Excellent communication, teamwork abilities, and interpersonal skills to collaborate with cross-functional teams
  • Familiar with cloud computing such as AWS and GCP
Responsibilities
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into efficient data pipelines
  • Design, develop, and maintain data pipelines using Scala, Java, Apache Spark, and Apache Kafka to ingest, process, and transform large volumes of data
  • Build and improve batch and real-time data processing solutions to support analytics, reporting, and machine learning
  • Monitor and troubleshoot data pipelines, ensuring data health and system reliability
  • Keep up-to-date with industry trends and emerging big data and data engineering technologies

GeoComply is an ideal workplace for individuals passionate about contributing to the integrity of the online gaming, sports betting, and entertainment sectors. The company leads in providing geolocation security and compliance solutions, using advanced technologies like device and identity intelligence coupled with machine learning to process billions of transactions yearly. Its robust product suite is trusted by industry giants such as Amazon Prime Video and BBC, highlighting its prominence and reliability in the field.

Company Stage

Private

Total Funding

N/A

Headquarters

Vancouver, Canada

Founded

2011

Growth & Insights
Headcount

6 month growth

-3%

1 year growth

-5%

2 year growth

59%
INACTIVE