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Develop a comprehensive migration strategy for our data infrastructure and workloads to GCP Handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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Stefanini is looking for Google Cloud Data Engineer, Location: Dearborn, MI (Hybrid) Google Cloud Data Engineer. The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world.
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Experienced knowledge in data analysis using SQL, user story development, data warehouse design and modeling (3rd normal form or dimensional modeling), data integration design and development and/or performance tuning Teradata SQL.
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Databricks (Delta lake, Notebooks, Pipelines, cluster management, Azure/AWS integration) Strong development experience in Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop. Spark, Py-Spark, Shell scripting, Teradata, Hive and Hadoop.
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Experience working with large-scale data warehouse solutions such as Teradata, Snowflake, or Redshift. Solid technical database knowledge (Hadoop, Teradata, Snowflake data modeling) and experience optimizing SQL queries on large data.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. GCP Data Engineer.
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Immediate need for a talented Google Cloud Platform Data Engineer. Knowledge of data Modelling, database design, and the data warehousing ecosystem. 3-5 years Experience in Data warehouse and Data lake implementation.
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Position requires 5+ years of experience in the following: Agile Software development methodologies utilizing Ab initio, Github, Jenkins, AWS, Big Data platform, Python, Oracle, Teradata, and Spark.
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3-5 years of software development experience with very high proficiency in Python or Scala or Java and experience optimizing SQL queries on large data. Experience in building data engineering monitoring tools.
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Knowledge of Data Warehouse technology (Unix/Teradata/Ab Initio/Python/Spark/Snowflake/No SQL)Experience in migrating ETL processes (not just data) from relational warehouse Databases to AWS based solutions.
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Experience in MPP databases (such as Aurora, Redshift, Snowflake, Netezza, Teradata, The contractor develops and oversees the execution of long-term data security strategies to maximize. Provide work investigating complex technical matters on a global scale spanning multiple disciplines such as storage technologies, network security, identity management, data destruction methodologies, and workflow integration.
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Is required Working knowledge of test planning, test data management, automated & manual test execution, and test management tools to support complex data and cloud landscape Working knowledge with Oracle, Teradata, SQL Server, ETL tools and data warehouse architectures highly preferred Working knowledge of QA methodologies, life cycle and processes Experience in Maintaining and Managing Test Environments for Integration and End to End testing.
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Position Summary Risk and Financial Advisory - Hybrid Operate Master QA Automation Engineer - PDM Manager Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment.
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As a Master QA Automation Engineer in our Hybrid-Operate business, you'll have the opportunity to gain valuable hands-on experience, share ideas, and collaborate with leading professionals as we engage a diverse set of industries with effective solutions Recruiting for this role ends on 04/30/24.
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Work You'll Do As a Master QA Automation Engineer, you will help lead the development of quality control standards, processes, and corrective actions to ensure appropriate use of best practices and tools.
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