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Mid-level GCP data engineer in Gurgaon with common skillset and metro location increases competition.
Technical GCP data engineering skills are broadly transferable, though enterprise domain experience provides moderate advantage.
Explicit 6+ years requirement and mandatory GCP, Spark, and data engineering skills create strict filters.
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Design, develop, and maintain scalable and resilient data pipelines on GCP supporting enterprise analytics and reporting.
Collaborate with business stakeholders, data scientists, and analytics teams to implement and optimize data workflows ensuring data quality, security, and governance.
Optimize data ingestion, transformation, and processing workflows for performance and cost efficiency, including troubleshooting and resolving pipeline issues.
Minimum of 6 years of practical data engineering experience with a strong focus on GCP and Big Data ecosystems.
Proficiency with GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub; Apache Spark; Python programming for data scripting and orchestration.
Bachelor's or Master’s degree in Computer Science, Data Science, Information Technology, or related field.
Experience with distributed data storage (PostgreSQL, MySQL, MongoDB) and version control (Git).
Experienced in designing and implementing end-to-end data pipelines at enterprise or large scale, working in agile environments.
Strong expertise in data security, infrastructure automation, and implementing data governance within complex data platforms.
Collaborative with the ability to align data platform development with organizational goals and guide data engineering best practices.