Big Data

2 days ago

bangalore, India PradeepIT Consulting Services Full time

About the jobAccelerate your career with PradeepITPradeepIT is one of the largest, globally recognized IT Consulting firm to connect Indias deeply vetted talent team to global customer.Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work Trusted by leading brands and fortune 500 companies from around the world, we have achieved:6+ Years of Experience580+ Open source technology Consultant120+ SAP Consultant40+ Salesforce Consultant60+ Adobe Consultant100+ Mobility Consultant890+ Clients in APAC, EMEA & USAOur BeliefsPradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.ResponsibilitiesDesign, developing and maintaining the data architecture, data models and standards for various Data Integration & Data Warehousing projects in GCP cloud, combined with other technologiesEnsure the use of Big Query SQL, Java/Python/Scala and Spark reduces lead time to delivery and aligns to overall group strategic direction so that cross-functional development is usableOwnership of technical solutions from design and architecture perspective, ensure the right direction and propose resolution to potential data pipeline-related problems.Expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.Provide technical guidance and support to a vibrant engineering team. Coaching and teaching your teammates how to do great data engineering.A deep understanding of data architecture principles and data warehouse methodologies specifically Kimball or Data Vault.RequirementsAn expert in GCP, with at least 5-7 years of delivery experience with: Dataproc, Dataflow, Big Query, Compute, Pub/Sub, and Cloud StorageHighly knowledgeable in industry best practices for ETL Design, Principles, and ConceptsEquipped with 3 years of experience with programming languages PythonA DevOps and Agile engineering practitioner with experience in a test-driven developmentExperienced in the following technologies: Google Cloud Platform, Dataproc, Dataflow, Spark SQL, Big Query SQL, PySpark and Python/ScalaExperienced in the following BigData technologies: Spark, Hadoop, Kafka etc..TechnologiesBig DataSparkPython/ScalaGCP

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