Data Engineer -Ritika
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Protocol Intelligence
Data-driven signals on your job's competitivenessHybrid pan-India senior data role with broad tech stack yields moderate applicant competition.
High due to deep enterprise data platform, GCP, governance and architect-level expectations.
Explicit 10–15 years, Principal level and mandatory tech stack makes filtering strict.
Job Description
Structured overview of role & requirementsAbout This Role
Lead architecture and strategy for enterprise-scale ETL/ELT data pipelines using Python, Airflow, and dbt Core on GCP.
Define and implement data management standards across the data lifecycle including ingestion, transformation, quality, governance, and archival.
Mentor engineers, drive adoption of cloud-native tools (Cloud Composer, GCS), and own data governance, cataloging, lineage, and CI/CD automation for data pipelines.
Minimum Requirements
10+ years of experience in data engineering with leadership responsibility.
Strong expertise in Python, Apache Airflow, ETL/ELT architectures, dbt Core, and SQL.
Proven experience with Google Cloud Platform (GCP), including Cloud Composer and Google Cloud Storage (GCS).
Work Mode: Hybrid across Pan India; Employment Type: Full-time; Apply By: October 23, 2026.
Ideal Candidate Profile
Senior data engineer with deep expertise in architecting large-scale, reliable, and scalable data pipelines on cloud platforms, preferably GCP.
Experience leading technical teams and mentoring engineers with ability to set engineering best practices and drive technical initiatives.
Proven ability to collaborate with product, architecture, and business stakeholders to align data strategy with organizational goals.