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Tier-1 brand, mid-level experience, metro locations, and generalist cloud data skillset increase applicant competition.
GCP-specific data engineering skills transfer across industries but require platform-specific cloud expertise, so medium sensitivity.
Explicit 5–8 years plus mandatory GCP, BigQuery, Spark, Python and related stack makes shortlisting highly strict.
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Design and implement scalable data engineering solutions on Google Cloud Platform (GCP), focusing on ETL/ELT development and workflow orchestration.
Lead performance optimization of data pipelines and develop Python-based frameworks to support enterprise data needs.
Collaborate with stakeholders and mentor junior team members to ensure high-quality and timely project delivery.
5 to 8 years of professional experience in GCP Data Engineering.
Strong expertise in GCP services including BigQuery, Cloud Composer, and Dataproc.
Advanced skills in Python programming, SQL, and PL/SQL; hands-on experience with Spark/PySpark.
Base location: Pune, Bangalore, or Hyderabad with hybrid working model.
Experienced in designing and delivering scalable, high-performance data pipelines using GCP technologies.
Comfortable with technical leadership, stakeholder collaboration, and mentoring roles within project teams.
Possesses deep technical knowledge of GCP ecosystem and related data engineering tools with troubleshooting and optimization capabilities.