Senior Data Engineer Job at Jobot
Step up to the challenge
This Jobot Job is hosted by: Jacqueline Siegel
Are you a fit? Easy Apply now by clicking the "Apply On Company Site" button and sending us your resume.
Salary: $170,000 - $210,000 per year
A bit about us:
-
Based in Glendale, CA we are a fast growing company that recently moved into a gorgeous new office. We provide high quality, accurate consumer data to marketing and analytics industry leaders. The information that we provide allows our clients to understand trends in behavior to better create immersive experiences.
This is a hands-on role where you will leverage your software development and data engineering skills to impact our business by taking ownership of key projects that require coding and data pipelines. You will design, build, and optimize performant databases, data models, integrations and ETL pipelines in RDBMS and NoSQL environments.
If you are a Data Engineer with experience, then please read on….
Why join us?
-
Job Details
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What You Get to 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.
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
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
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
What You Bring to the Role:
5+ 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 Python
3+ years of Spark
2+ years of experience with AWS data ecosystem (Redshift, EMR, Glue, Athena, ...)
2+ years of experience with observability systems like New Relic, Prometheus/Grafana
2+ years of experience with environment automation using TerraformDeep 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
Experience with workflow management tools (Airflow, Oozie, Azkaban, Luigi, etc.)Comfortable working in Linux environmentAbility to thrive in an agile, entrepreneurial start-up environment
Interested in hearing more? Easy Apply now by clicking the "Apply On Company Site" button. #indtier1
This Jobot Job is hosted by: Jacqueline Siegel
Are you a fit? Easy Apply now by clicking the "Apply On Company Site" button and sending us your resume.
Salary: $170,000 - $210,000 per year
A bit about us:
-
Based in Glendale, CA we are a fast growing company that recently moved into a gorgeous new office. We provide high quality, accurate consumer data to marketing and analytics industry leaders. The information that we provide allows our clients to understand trends in behavior to better create immersive experiences.
This is a hands-on role where you will leverage your software development and data engineering skills to impact our business by taking ownership of key projects that require coding and data pipelines. You will design, build, and optimize performant databases, data models, integrations and ETL pipelines in RDBMS and NoSQL environments.
If you are a Data Engineer with experience, then please read on….
Why join us?
-
- Competitive Base Salary and meaningful equity!
- 100% covered Medical/Dental/Vision for employee
- Unlimited Vacation and flexible work hours!
- Catered lunches, stocked pantry, and happy hours!
- Onsite Fitness Program and discounted gym membership!
- Quarterly Offsites
- 401K, life insurance, and FSA
- Paid Maternity/Paternity leave and employee assistance program
- Travel Assistance Program
Job Details
-
What You Get to 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.
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
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
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
What You Bring to the Role:
5+ 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 Python
3+ years of Spark
2+ years of experience with AWS data ecosystem (Redshift, EMR, Glue, Athena, ...)
2+ years of experience with observability systems like New Relic, Prometheus/Grafana
2+ years of experience with environment automation using TerraformDeep 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
Experience with workflow management tools (Airflow, Oozie, Azkaban, Luigi, etc.)Comfortable working in Linux environmentAbility to thrive in an agile, entrepreneurial start-up environment
Interested in hearing more? Easy Apply now by clicking the "Apply On Company Site" button. #indtier1
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