-
ID
#13512527 -
Job type
Permanent -
Salary
TBD -
Source
MAXAR Technologies -
Date
2021-05-17 -
Deadline
2021-07-16
Senior Data Engineer
Colorado, Westminster, 80030 Westminster USAPermanent
Vacancy expired!
Please review the job details below.
Maxar is looking for a data-oriented computer scientist to join the Data Intelligence team as a Senior Data Engineer in Westminster, CO. This role can also be performed remotely. The individual should dig data-pipelines, drive data-value, be passionate about delivering scalable, supportable solutions, and know a thing or two about AWS.Responsibilities:- Develop high-quality, resilient and supportable data pipelines and business solutions
- Analyze and Interpret data from various systems
- Provide technical leadership and insight
- Validate data and maintain healthy data flows
- Work on a fast-paced agile team
- Must be a U.S. citizen and be willing and able to obtain Secret security clearance
- Bachelor's degree in Computer Science or similar field.
- Minimum of 8 years of software development experience.
- Experience creating data pipelines including ETL, aggregations, SQL tuning and some relational modeling
- Experience with Spark analytics engine processing large data sets
- Experience with Scala and Python
- Experience with SQL dexterity including complex queries, SQL tuning, CTEs and working with JSON data
- Experience using relational database such as Postgres
- Master's Degree
- Ability to use a wide variety of open source technologies and cloud services
- Designing and implementing resilient, scalable, and supportable systems in AWS
- Complex, multi-step ETLs including DAG creation and scheduling in tools such as Airflow
- Distributed SQL engines such as Presto or Trino
- Java experience
- Data visualization technologies such as Tableau, Redash, python dash or R shiny
- Communication with stake holders and business leaders to clarify requests and suggest value-add solutions
- AWS technologies such as EMR, RDS, EC2 and S3
- GIS or PostGIS or exposure to GIS data
- Stream processing technologies such as Flink, Kafka or Kinesis
- Working with apps and data flows that run on Kubernetes
- Building and/or using data APIs
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