Vacancy expired!
DISQO is changing the way that the world's largest brands, agencies and consumer intelligence companies get to know their consumers. We've built the first identity-based platform that combines consumer attitudes and behaviors together to power the most accurate and predictive insights solutions for our customers, and we do all of that with the willing participation of our consumers and without using outdated technologies like third-party cookies. We help our customers get a cross-platform view into consumer sentiment, measure advertising effectiveness, analyze consumer purchase journeys, and ultimately grow their brands.
Our mission at DISQO is to engage people to share their opinions and behaviors openly to help our customers make the right decisions. With over one million active members sharing their attitudes and behaviors, DISQO is looking to expand, improve and create world-class applications for people to openly share their data for research.Check out the DISQO Developer Blog for the latest from our DISQOTECH team.What you will do:- Leverage your software development and data engineering skills to impact our business by taking ownership of key projects requiring coding and data pipelines
- Collaborate with product managers, software engineers, and data engineers to design, implement, and deliver successful data solutions
- Define technical requirements and implementation details for data solutions
- Design, build and optimize performant databases, data models, integrations, and ETL pipelines in RDBMS and NoSQL environments
- Maintain detailed documentation of your work and changes to support data quality and governance
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
- Mentor and manage other engineers as the team grows.
- Be an active participant and advocate of agile/scrum practices to ensure health and process improvements for your team
- 7+ years of experience designing and delivering large scale, 24/7, mission-critical data pipelines and features using modern big data architectures
- 3+ years of Scala
- 3+ years of Spark
- 2+ years of experience with AWS data ecosystem (Redshift, EMR, Glue, Athena, )
- Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query performance optimization
- Experience with building stream-processing applications using Kinesis or Kafka
- Experience with workflow management tools (Airflow, Oozie, Azkaban, Luigi, etc.)
- Comfortable working in Linux environment
- Ability to thrive in an agile, entrepreneurial start-up environment
Vacancy expired!