Google Cloud Data Engineer

Müller's Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.Key ResponsibilitiesDesign, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data servicesImplement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processingCollaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needsMonitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they ariseEnsure data quality by developing and implementing validation routines and data profiling techniquesDocument data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the teamStay informed of emerging trends and best practices in data engineering and GCP technologiesParticipate in team efforts to define and enhance data governance and management practicesRequirementsBachelor's degree in Computer Science, Information Technology, Data Science, or a related field3+ years of experience in data engineering, with a focus on Google Cloud PlatformProficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related toolsStrong SQL skills and experience in data modeling and data warehousing conceptsFamiliarity with programming languages such as Python or Java for data processing tasksAbility to work with various data sources, including structured and unstructured dataStrong analytical and problem-solving skills with attention to detailAbility to effectively communicate technical concepts to both technical and non-technical stakeholdersPreferred QualificationsGoogle Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirableExperience with real-time data processing using Apache Beam and Google Cloud Pub/SubUnderstanding of CI/CD practices in data engineering workflowsKnowledge of data visualization tools and techniques to present data insights effectivelyBenefitsAttractive PackageFamily BenefitsVisaAir Tickets#J-18808-Ljbffr