Data Platform Engineer, DISQO
$160-180k
+ Equity
Office located in Glendale, CA
Ad effectiveness measurement insights
Job no longer available
Ad effectiveness measurement insights
201-500 employees
Job no longer available
$160-180k
+ Equity
Office located in Glendale, CA
201-500 employees
Company mission
To build the world’s most trusted ad measurement platform that fuels brand growth.
Role
Who you are
- At least 5+ years of experience in Data Platform owning and enabling capabilities within an enterprise data ecosystem including best Data Management practices
- At least 3+ years of experience as SRE, DevOps or equivalent engineering roles
- At least 3+ years of production experience with AWS
- Strong hands on experience managing infrastructure and configuration of Data Platforms in the Cloud - Data Lake, Data Warehouse, Data Mart, Graph Database, Time Series Database, Object Store, etc
- Strong experience and deep knowledge in the Hadoop ecosystem including performance tuning and operational efficiency
- Strong experience in Spark with Python or Scala
- Strong hands-on experience in Infrastructure-as-Code and Configuration management tools and technologies: Terraform, Helm, Strimzi, AWS CloudFormation, Packer, Chef, Puppet, Ansible, etc
- Strong experience in CI/CD tools like Jenkins
- Hands-on experience with observability systems like New Relic, Prometheus/Grafana
- Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query performance optimization
- Experience with building real-time processing applications using Spark Stream and Kinesis/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
What the job involves
- This is a great opportunity to join an exciting & highly motivated team and upgrade your skills while creating real impact
- We use a modern tech stack and cloud infrastructure
- We are not only looking for work experience, but rather the willingness to step up to challenges and the ability to learn quickly
- We believe the best software is written and managed by small teams that know how to make the impossible possible
- We use agile software development techniques and modern tools to focus our efforts on solving our business goals
- We deliver early and often. We obsess over our code, architecture and infrastructure and we believe that these practices lead to higher quality products
- Leverage your data engineering and infrastructure skills to impact our business by taking ownership of key projects requiring environment build and data pipelines
- Collaborate with product managers, software engineers and data engineers to design, implement, and deliver successful data solutions
- Identify, design and implement internal process improvements including re-designing Data/Observability infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Design, build and optimize performant databases, data models, integrations and ETL pipelines in RDBMS and NoSQL environments
- Play a critical role in designing and evolving our data infrastructure on AWS, orchestrating Spark-based pipelines in Kubernetes (EKS), and enabling our data engineering and analytics teams to deliver insights with confidence and speed
- Proven expertise in Spark and managing Spark workloads on Kubernetes (EKS)
- Use your Big Data skills to help optimize poor performing SQLs for the business
- Maintain detailed documentation of your work and changes to support data quality and governance
- Participate in an on-call rotation to provide operational support for critical data platform services and data pipeline jobs
- Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
- Be an engaged participant and advocate of agile/scrum practices to ensure health and process improvements for your team
- Define best practices around making our systems and services measurable and work with our various teams to get those best practices applied
- Collaborate with other Engineering teams to ensure our Jobs are emitting the right metrics
- Collect, aggregate and visualize the collected metrics to provide actionable insight
Our take
DISQO delivers a platform to measure the effectiveness of advertisements so that businesses can make more informed and impactful marketing decisions. Importantly, it works across channels to eliminate blind spots and provide a full view of the consumer journey.
The company boasts an impressive client list spanning market researchers, ad agencies and global brands. This includes the likes of Ford, Home Depot, Duracell and Chipotle. In 2022, DISQO acquired Feedback Loop, a product research platform - one of many steps taken to facilitate its continued expansion across the sector.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-21% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Aug 2021
$85m
SERIES B
Aug 2018
$13.5m
SERIES A
Total funding: $101.5m
Company benefits
- 100% covered Medical/Dental/Vision for employee, competitive dependent coverage
- Stock options
- 401K
- Generous PTO policy
- Team offsites, social events & happy hours
- Life Insurance
- Health FSA
- Commuter FSA (for hybrid employees)
- Catered lunch and fully stocked kitchen
- Paid Maternity/Paternity leave
- Disability Insurance
- Travel Assistance Program
- 24/7 Counseling Services offered to Employees
Company HQ
Downtown, Glendale, CA
Leadership
Armen Adjemian
(CEO & Co-Founder)Having worked as a PwC Associate, they founded Venture Group in 2005, before roles at Glendale Water and Power and being CEO of Blue Media Ventures.
Drew Kutcharian
(CTO & Co-Founder)They worked as a Consultant before co-founding Venarc as CTO and taking on several Advisory roles before co-founding DISQO.
Armen Petrosian
(Chief Growth Officer & Co-Founder)They took an MBA at USC before working as CEO of VentureCorp and CMO of Blue Media Ventures, before leaving to start DISQO in January 2016.
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