GCP Data Engineer

As you can imagine, this means that we have a vibrant and diverse mix of skills and people making Kagool a great place to work.\n\nAbout the Role\nWe are looking for a skilled and motivated GCP Data Engineer to design, build, optimize, and maintain scalable data solutions on Google Cloud Platform (GCP). The ideal candidate will have strong experience in cloud-based data engineering, ETL/ELT pipelines, big data technologies, and modern data warehousing solutions.\nYou will work closely with data analysts, data scientists, DevOps teams, and business stakeholders to deliver reliable, secure, and high-performance data platforms and pipelines.\n\nKey Responsibilities\nDesign, develop, and maintain scalable data pipelines using GCP services\nBuild and optimize ETL/ELT workflows for structured and unstructured data\nDevelop and manage data lakes and data warehouses on GCP\nImplement data integration solutions using batch and real-time streaming technologies\nWork with large datasets using distributed processing frameworks\nOptimize query performance, storage, and compute costs\nEnsure data quality, governance, security, and compliance standards\nAutomate deployment and monitoring of data engineering solutions\nCollaborate with cross-functional teams to gather business and technical requirements\nTroubleshoot production issues and provide long-term solutions\nCreate technical documentation and best practices\n\nRequired Skills & Qualifications\nTechnical Skills\nStrong experience with Google Cloud Platform (GCP) services -\nBigQuery\nCloud Storage\nDataflow\nPub/Sub\nCloud Composer / Apache Airflow\nDataproc\nCloud Functions\nLooker / BI tools\nSQL and advanced query optimization\nPython or Java/Scala, Apache Spark\nETL/ELT development\nCI/CD pipelines\nGit version control\nExperience with:\nReal-time data streaming\nData modelling and warehousing concepts\nREST APIs and data integration\nInfrastructure as Code (Terraform preferred)\nMonitoring and logging tools\n\nPreferred Qualifications:\nGCP Associate Data Practitioner (Mandatory)\nGCP Professional Data Engineer Certification (Mandatory)\nExperience with Kubernetes or Docker\nExposure to machine learning pipelines\nKnowledge of data governance and security frameworks\nExperience working in Agile/Scrum teams\n\nEducation & Experience\nBachelor’s degree in Computer Science, Information Technology, Engineering, or related field.\n3+ years of experience in Data Engineering\n2+ years of hands-on experience with GCP services\n\nNice to Have\nExperience with multi-cloud environments (AWS/Azure)\nExperience with Snowflake or other cloud data warehouses\nUnderstanding of DevOps/DataOps practices\n\nCareer at Kagool\nA career at Kagool will give you a path towards progression and opportunities, with the current rate of growth we at Kagool have dedicated time towards individual growth, recognizing individual contributions, filling the team with a strong sense of purpose along with providing a fun, flexible and friendly work environment.