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Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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Data Warehousing Experience with SQL Server, Oracle, Redshift, Teradata, etc. Expert/Advanced level experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming.
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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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Knowledge and exposure to Azure SQL DataWarehouse, Databricks or other cloud or on-premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Knowledge of Test Driven Development, Continuous Integration, Agile/Scrum.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). Works with other team members and business stakeholders on complex projects and tasks to drive development of business analytics requirements and synthesize these into data integration and enterprise data access requirements that communicate a coherent message.
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Works with data visualization specialists to facilitate technical design of complex data sourcing, transformation and aggregation logic ensuring business analytics requirements are met. Drives development and adoption of and adherence to data engineering standards using best practice methods and techniques.
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We are seeking a skilled and experienced Data Engineer to lead the design and implementation of a ground breaking data integration platform using Python, Google Cloud Platform (GCP) and Snowflake.
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3+ years’ experience with analytics platforms and tools, such as Databricks, Snowflake, Teradata, Spark, Kafka. For numerous enterprise clients, we develop data connectors to streamline data flow from multiple sources to analytics platforms, such as Splunk, Databricks, Hadoop, or others.
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Looking for a self-motivated Junior Data analyst, who will be accountable for the PBNA Data identification, analysis and integration for the global IBP program. Ability to provide PBNA IT and Functional knowledge to enable common global designs, data, reporting and analytics and own the mapping of PBNA Data for IBP integration.
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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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Net Core, MVC Strong experience in Azure DevOps, Visual studio, SQL Server, T-SQL, SSMS, SSIS, DTSX and SSRS Experience with data visualization tools – SSRS, Tableau, D3, COGNOS, and Power BI Experience with Oracle, Teradata, Google BigQuery, Google Cloud Platform, API development is a plus.
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Strong credentials on Data Migration, Teradata, Test Data Management, etc. Process|Testing processes|Integration Testing process, Process|Testing processes|Performance Testing process, Technology(IBPO)|Validation Services - Automation testing|Selenium, Technology|Agile Testing|Agile Testing - ALL, Technology|Mobile Testing|Mobile Automation Testing.
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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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