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Mid-level GCP data engineer in Gurgaon with common skills and metro location yields moderate competition.
Medium — core data engineering skills transfer well, but GCP/BigQuery specialization increases domain specificity.
High due to explicit 6+ years requirement and mandatory GCP/BigQuery/PySpark expertise.
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Design, build, and scale end-to-end data platforms and pipelines on Google Cloud Platform using BigQuery and related services.
Own full development lifecycle from requirements gathering to production deployment and optimization for scalable data workflows.
Establish and maintain data control frameworks and support production-grade reporting to enable data-driven decision-making.
6+ years of experience in data engineering or related field.
Strong expertise in GCP architecture, services, and scalable system design.
Proficient in Python (PySpark, Pandas) and SQL programming for data pipelines and transformations.
Graduate degree in Computer Science, Data Science, or a related field.
Experienced in building large-scale, distributed data pipelines with a focus on scalability and performance.
Comfortable collaborating across business, risk, operations, and technology teams to translate requirements into solutions.
Skilled in operationalizing data models and control frameworks within enterprise environments.