Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessMetro location, popular data role, mid-level experience, and broad tech requirements increase competition.
Core data engineering skills transfer well across industries, so background sensitivity is low.
Explicit 3+ years and many mandatory technologies make filtering strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable ETL/ELT data pipelines using Informatica, Airflow, and Dataproc.
Manage and develop data warehouse solutions on Google BigQuery to ensure data accuracy and accessibility.
Implement CI/CD pipelines for data workflows using DevOps tools like Dataform and GitHub, collaborating with data scientists and business stakeholders.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related technical field.
Minimum 3 years of professional experience in a data engineering role.
Proficient in SQL with extensive experience on Google BigQuery.
Hands-on experience with Databricks, Dataproc, Informatica, Airflow, Python, and CI/CD tools like Dataform and GitHub.
Ideal Candidate Profile
Experienced in building end-to-end data infrastructure supporting analytics and business intelligence in SaaS environments.
Operates effectively in collaborative settings interfacing with data scientists, analysts, and business teams.
Has practical expertise integrating DevOps practices into data workflows to enhance pipeline reliability and automation.