Data engineer - R01542809

Primary Skills

• Amazon API Gateway, Amazon CloudFront, AWS Elastic Beanstalk, AWS Lambda, AWS Step Function

Secondary Skills

• AWS Redshift, DynamoDB

Specialization

• AWS Development: Senior Engineer

Job requirements

Brillio LLC is a fast growing, pure play Digital Transformation Solutions and Services firm backed by Bain Capital private equity. Founded in 2014 and headquartered in Silicon Valley, Brillio is focused on delivering design led solutions for our customers. We are not an IT Services company trying to pivot and support the “next big thing.” As a digitally native company, everything we have done and will continue to do, will have this laser focus.
 
Our culture is driven by Brillio’s Core Values and it is the foundation of who we are as an organization. We equip and empower our employees to push boundaries with an ‘Founder’s Mindset’ spirit as they craft ‘Customer Success’ stories. With our customer-centric approach, we deliver ‘Excellence and Innovation’ at every level of our collaboration and this is what fuels Brillio’s growth story. While we are proud of our journey so far, ‘ Care and Compassion’ about our customers, employees and the community where we thrive in. We strive to stay committed to lighting up 100,000 young minds through our CSR efforts.
 
Role: Data Engineer
Years of Experience: 10+ years
Location: Remote (should be comfortable working in Pacific time)
 
A successful candidate will work alongside our existing full-time Data Engineer and will help build a new data pipeline that is a near replica of an existing data pipeline.
 
We have two different backend applications, and currently have a data pipeline that connects one of the backends to a data visualization tool we used called Sisense. The goal will be to build a similar pipeline connecting the second backend to the same data visualization tool, Sisense.
 
So obviously at the very base level we need python and SQL. We use terraform to manage the infrastructure. We use Airflow to orchestrate the pipelines and airflow functions to write different parts of the pipeline. Airflow function I believe is the most important part of the tech stack. We use AWS services like SQS, Lambda, DynamoDB, S3, Redshift. We also run our airflow as a container on AWS using ECS and ECR but aren’t an important part of the tech stack. Familiarity with tools such as dbeaver and periscope would help a lot. Best practices of data warehousing would be a plus to have.
 
In terms of specific technical skills, languages & tools, we are looking for someone comfortable with:
• Hivemind
• Apache Airflow
• AWS DynamoDB
• AWS Redshift
• AWS SQS
 
Why should you apply for this role?
As Brillio continues to gain momentum as a trusted partner for our clients in their digital transformation journey, we strive to set new benchmarks for speed and value creation. The Advisory and Value Assurance (AVA) team at Brillio is at the forefront of leading this charge by reimagining and executing how we structure, sell and deliver our services to better serve our clients.
 
Know more about:
DAI: https://www.brillio.com/services-data-analytics/
Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/
 
Equal Employment Opportunity Declaration
Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.
 
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