Senior Data Engineer
Posted on 3/15/2024
Altium

1,001-5,000 employees

Software for designing and realizing electronics-based products
Company Overview
Altium LLC, a global software company, is a leader in the electronics industry, providing user-centric software solutions that enhance productivity for PCB designers and electrical engineers. Their competitive edge lies in their unique Business-to-User approach, focusing on easy-to-use software that addresses industry trends such as minimizing power and package size, and prioritizing high-speed design. The company's culture encourages collaboration and autonomy, with built-in tools for project management, design reviews, and team-based work, making it an ideal workplace for those seeking to contribute to advancements in electronics technology.
Industrial & Manufacturing

Company Stage

N/A

Total Funding

$6.9M

Founded

1985

Headquarters

San Diego, California

Growth & Insights
Headcount

6 month growth

5%

1 year growth

21%

2 year growth

33%
Locations
Cambridge, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Redshift
Airflow
Data Science
BigQuery
SQL
Tableau
AWS
Looker
Snowflake
CategoriesNew
Data Engineering
Data Management
Data & Analytics
Requirements
  • Experience working in a modern software development environment
  • 5+ years of experience in building and maintaining data pipelines
  • 5+ years of experience in building and maintaining data access management systems
  • 5+ years of experience in developing with any modern language
  • Expertise in developing and tuning complex SQL queries
  • Experience in working with DevOps
  • Previous experience working with AI/ML
  • Knowledge of supply chains within the electronics domain or general experience within the electronics industry
  • Experience with C#, Go, AWS (Lambda, RDS, DMS, SQS, SNS), DevOps experience, particularly infrastructure management using Pulumi or Terraform, modern data engineering tools such as Databricks, BigQuery/Redshift/Snowflake, DBT, data visualization systems such as Looker, Data Studio, Tableau, Domo, orchestration tools such as Airflow or Prefect, developing in an InfoSec environment, cloud networking systems
Responsibilities
  • Building and maintaining data pipelines
  • Integration of access management systems for various 3rd-party services into existing access control system
  • Supporting Data Science team in building and deploying AI/ML models
  • Advising on data requirements and data design insights for current and future product development
  • Supporting internal teams and potentially customers by providing access to source data and data visualization systems
  • Other duties as assigned