Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, metro location, mid-level generalist data role increases applicant competition.
GCP-based data engineering skills are highly transferable across industries; media knowledge is optional.
Explicit 2–4 years plus mandatory GCP, BigQuery, PySpark, Terraform, Dataform, and CI/CD skills.
Develop, deploy, and maintain scalable ETL/ELT data pipelines on Google Cloud Platform (GCP) using Cloud Composer and PySpark on Dataproc.
Optimize BigQuery usage through Partitioning, Clustering, and Materialized Views to enhance query performance and manage costs.
Implement data integration with BigLake, infrastructure deployment with Terraform and CircleCI, and maintain data operations with logging, alerting, and quality checks.
2-4 years of hands-on data engineering experience.
Proficiency in GCP services including BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud Functions, and Dataproc.
Strong coding skills in Python and SQL with ability to write modular, testable, and maintainable code.
Experience with CI/CD tools and Infrastructure-as-Code (Terraform, CircleCI).
Experienced in applying data modeling techniques such as Star Schema and Snowflake in cloud data environments.
Capable of translating business requirements into efficient technical data solutions, collaborating with senior engineers and cross-functional teams.
Background or experience in the News or Media industry is a plus.