Senior Data Engineer

LATAM. Posted a month ago

The role

You will build, orchestrate, and maintain data pipelines on a GCP stack. You will partner with Data Science and Data Ops teams to ensure the accuracy and scalability of subscriber metrics.

What you will do

Build, orchestrate, and maintain data pipelines on GCP stack using BigQuery, dbt, PySpark, Parquet, and Dagster
Develop a deep understanding of core data models to collaborate with Data Science and Data Ops
Partner with Data Science and Data Ops teams to maintain trusted datasets for self-service
Work with cross-functional stakeholders to derive and define requirements
Document, simplify, and explain complex problems to different audiences
Establish best practices for the development of specialized datasets for analytics and modeling

Required qualifications

5+ years in software engineering
At least 3 years focused specifically on data infrastructure or platform engineering
Built production pipelines in a modern cloud warehouse (BigQuery, Snowflake, or Databricks) with dbt, SQL, or Spark and an orchestrator like Dagster or Airflow
Expertise with SQL
At least one general-purpose programming language
Independently navigate complex, unfamiliar systems to identify and fix difficult problems
Proactively, consistently, and effectively communicate with cross-functional teammates and stakeholders
Understand the testability of data systems
Use AI tools and automation to improve work

Nice to have

Python
Design and implement backend web services
Manage cloud resources (GCP or AWS) using infrastructure as code tools like Terraform, Pulumi, or CloudFormation
Design maintainable systems to solve challenging customer problems
Industry experience with receipt, transaction, or viewership data
Experience with data architecture and governance

About the company

Devsavant is an operating partner for startups and growth-stage companies, helping them turn ambition into execution. They support founders and leadership teams with product engineering and global staffing.