GCP Data Engineer

GCP Data Engineer

Job Summary

:We are seeking a highly motivated and experienced GCP Data Engineer to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable and robust data pipelines and architectures on Google Cloud Platform. You will work closely with data scientists, analysts, and other stakeholders to ensure data availability, quality, and usability, contributing to our data-driven initiatives

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Required Qualification

• s:Bachelor's degree in Computer Science, Engineering, Information Technology, or a related quantitative fiel
• d.Proven experience (typically 8+ years) as a Data Engineer, with a strong focus on Google Cloud Platfor
• m.In-depth knowledge and hands-on experience with core GCP data services such a
• s:BigQuer y: For data warehousing, querying, and analytic
• s.Cloud Dataflo w: For batch and stream data processin
• g.Cloud Pub/Su b: For real-time messaging and event ingestio
• n.Cloud Storag e: For scalable and durable object storag
• e.Cloud Composer (Apache Airflow): For workflow orchestration and pipeline managemen
• t.Cloud Datapro c: For managed Hadoop and Spark clusters (good to have
• ).Cloud SQL/Cloud Spanner/Cloud Bigtabl e: Experience with relational and NoSQL database
• s.Strong proficiency in SQL for data manipulation, querying, and optimizatio
• n.Expertise in at least one programming language commonly used in data engineering, preferably Python. Scala or Java is a plu
• s.Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processe
• s.Experience with version control systems (e.g., Git
• ).Strong analytical, problem-solving, and debugging skill
• s.Excellent communication and collaboration skills, with the ability to work effectively in a team environmen

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Preferred Qualificatio

• ns:Google Cloud Professional Data Engineer certificati
• on.Experience with data visualization tools (e.g., Looker, Tableau, Power B
• I).Familiarity with CI/CD pipelines for data engineering workflo
• ws.Knowledge of data governance frameworks and too
• ls.Experience with real-time data processing and streaming architectur
• es.Basic understanding of machine learning concepts and how to operationalize ML mode