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Strong brand, metro location, mid-level data engineer title, and common GCP skillset increase candidate competition.
Core data engineering skills are transferable across industries; media experience is only a preferred plus.
Explicit 2-4 years plus mandatory GCP, Dataform, Terraform, Python, and BigQuery requirements increase shortlisting strictness.
Develop, deploy, and maintain scalable ETL/ELT data pipelines in GCP using Cloud Composer and PySpark on Dataproc.
Optimize BigQuery performance using Partitioning, Clustering, and Materialized Views and assist in implementing BigLake components for unified data governance.
Manage code and infrastructure deployment with Terraform and CircleCI, and implement logging, alerting, and data quality checks to ensure reliable data operations.
2-4 years of hands-on Data Engineering experience.
Strong proficiency in GCP services: BigQuery, DataForm, Cloud Composer, Cloud Storage, Cloud Functions, and Dataproc.
Proficient in Python and SQL with experience in modular, testable coding.
Experience with CI/CD tools and Infrastructure-as-Code (Terraform, CircleCI).
Experienced mid-level Data Engineer capable of ownership from development to monitoring of data pipelines in GCP.
Familiar with data modeling concepts (Star Schema, Snowflake) and data operations suggesting strong architectural understanding.
Prior exposure to News or Media industry is a plus, indicating domain knowledge relevant to role.