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Utilize SQL Server Integration Services (SSIS) and Azure Data Factory for ETL processes and data migration. Design, develop, and implement data architecture solutions using SQL Server, Microsoft Azure, Snowflake, and Databricks.
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Experience developing integrations utilizing FBDI, HDL, HCM Extracts, BIP and OTBI. Experience developing, configuring, and consuming SOAP and RESTful web services using JMS, JSON, XML/XSLT and FTP. Experience developing with XPath, XSD, XSLT, and WSDL. Experience with code migration and deployment using Visual Builder Studio and GIT. Experience with Oracle database programming including PL/SQL, DML, and DDL, creating packages, functions, views, and stored procedures.
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Supporting the broader Analytics & Insights team on technology and data initiatives, including the migration of legacy data and processes to a new Databricks environment. 5+ years of SQL experience, Databricks, SQL Server, Spark SQL.
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Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle. At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake.
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Minimum 5 years of experience with ETL/ELT design and development using tools like IICS, AWS Glue, Talend, Databricks, Oracle Data Integrator (ODI) or equivalent. 6+ years of experience with SQL or NoSQL databases like Snowflake, Postgres, Oracle, MongoDB.
$143,500 - $179,960 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They need experience with Microsoft SQL Server, Databricks to Oracle, and SQL scripts. Experience with Microsoft SQL Server, Databricks to Oracle, and SQL scripts.
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DE identifying key trends and customer behaviors that influence business decisions by building hypothesis for mining digital or live channel data in AWS and Snowflake EDL, using SQL, Python, Elasticsearch and Amazon Web Services (AWS) technologies Athena, Glue, Sage maker, Kibana, S3, Quicksight, and API Gateway.
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DE performing data analysis, profiling, mining, extraction, and cleansing of large data warehouses using DB2, Snowflake, AWS, Hadoop, SQL Server, and Oracle; and generating visual insights for business and end users by creating data models and right data structures using Qlik Sense and Tableau.
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Proficient in Oracle, Snowflake and SQL Server databases. Work with large and varied data sets, from multiple data sources, to conduct analysis on current customer activity and generate concise reporting, contact lists, and relevant insights (experience with data visualization tools like PowerBI and Tableau a plus.
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Resolve highly complex technical issues on Oracle Cloud and Exadata On-Prem platforms, spanning across database footprint including Exadata architecture, Real Application Clusters, High Availability, Data Guard, Corruption, Backup and Recovery.
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Develop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Full Stack Engineer (or closely related occupation) designing and developing end-to-end software solutions using Java, AWS, Power Platform and Database Technologies (Oracle, SQL Server) in a financial services environment.
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And merging complex datasets by writing complex SQL and PL-SQL queries in DB2, Oracle, Microsoft SQL server, Snowflake and NOSQL datastores Cassandra or Mongo DB using Toad and DB Visualizer; and using database federation mechanism for data virtualization with stored procedures to accelerate and provide advanced analytics, availability and query performance.
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Oracle Applications - SQL, PL/SQL, Development tools, OA framework, workflows, Application object library, UNIX shell scripting etc. Advanced skills in PL/SQL programming for custom development and advanced data analysis.
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Knowledge of various databases used in data warehousing, such as Oracle, SQL Server, PostgreSQL, or MySQL. 3) 3 years of experience in the past 4 years in working with designing and developing data warehouses using other platforms like SQL Server, Oracle, or Teradata.
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oracle sql data migration jobs Title: administrator Company: Fidelity Talentsource Llc
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