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Senior Data Engineer
Posted on 11/12/2022
New York, NY, USA
Experience Level
Desired Skills
Apache Spark
Apache Kafka
Data Analysis
Data Science
Apache Flink
  • 6+ years of experience working in data architecture, data modeling, and building data pipelines & distributed systems at scale
  • Recent accomplishments working with relational and as NoSQL data stores, methods, and approaches (STAR, Dimensional Modeling)
  • 2+ years of experience with a modern data stack (Kafka, Spark, Airflow, lakehouse architectures, real-time databases, dbt, etc.) and cloud data-warehouses such as RedShift, Snowflake
  • Strong experience scaling and managing open source frameworks such as Airflow, Kafka, Spark, Flink and database deployments
  • Proficiency in Python or similar programming language
  • Translate product and business requirements into data models and data pipelines that product engineering teams within the company will use
  • Design, build, deploy, and support scalable, high-volume data pipelines in the modern data tech with measurable quality under the SLA
  • Design relational and non-relational data models for optimal storage and retrieval
  • Evaluate, recommend, and build prototypes of new data engineering paradigms
  • Participate in technical architecture discussions and peer code reviews
  • Work closely with our data platform/infrastructure team on building and supporting Tatari's data platform and scaling the infrastructure which powers all of our data engineering, data science and analytics efforts
  • Collaborate with data scientists, business analysts, engineers, and product managers to understand the company's data-related needs
  • Identify, document, and promote data engineering best practices on the team and in the larger organization

51-200 employees

Linear & streaming TV data analytics
Company Overview
Tatari’s mission is to provide the knowledge and transparency needed to give a competitive edge, and to create a clear way forward for advertisers everywhere. The company combines a sophisticated media buying platform with proprietary analytics to turn TV advertising into an automated, digital-like experience.
  • Competitive salary
  • Stock options
  • 100% health insurance premium coverage
  • Unlimited PTO & sick days
  • Snacks, drinks, & catered lunches
  • Team building events
  • $1000 annual continued education benefit
  • $500 WFH reimbursement
  • $125 pre-tax monthly stipend to spend on whatever you want
  • Annual mental health awareness app reimbursement
  • FSA & commuter benefits
  • Monthly Company Wellness Day Off (During WFH)
Company Core Values
  • Compassion
  • Rigorous
  • Excellence