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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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The primary role of the Sr Engineer, Data Integrations & Analytics, is to work within our Accounting & Finance team to develop and support technical aspects of Oracle Fusion Cloud (ERP/EPM/EDM) such as OIC Integrations, ESS Jobs, Configurations, Rest & Soap calls, API's, FBDI Loads, BIP reports, and BICC. You’ll be responsible for all aspects of designing technical solutions, debugging and resolving data issues as well as developing solutions based on specifications.
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Must have Tools: Selenium, Client Load Runner, TOAD for Oracle 12.6, Python, Oracle SQL Developer 18.2, PL/SQL, UNIX, AWS, FileZilla, Microsoft Visio, WinSCP, Java, MS Office, Atlassian JIRA, Putty, COGNOS.•Prior experience working in healthcare or government setting with a strong knowledge base in healthcare insurance principles, eligibility, and Medicaid Management Information System (MMIS.
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ETL tools Teradata, MS SQL Server, Data Transformation Services, Oracle SQL Developer, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Strong preference will be given to candidates with knowledge of: MS SQL Management Studio MS SQL Server MariaDB SolarWinds DPA Index Tuning E-R Diagramming Data Normalization Backup and Restore Clustered Databases Query Optimization MongoDB PostgreSQL Oracle Intersystem IRIS Database Tools: SQL Server Management Studio, Azure Data Studio, SQL Profiler, SQL Prompt.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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What we value Demonstrated experience in Python, PySpark and SQL (AWS Redshift, Postgres, Oracle). State Street Global Advisors is looking for a highly skilled Data Engineer/ Data Analyst with 3+ years’ experience to join our Portfolio Analytics Technology Solutions team.
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Skill Required / Desired Amount of Experience Experience w/ SQL databases and related ETL and advanced data validations in Snowflake (and also Azure) and data visualization using Tableau/Power BI Required 7 Years Understanding of different database platforms: Oracle SQL Server DB2 and MS Access.
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Experience in ETL, SQL, Informatica, Power exchange, Databases like SQL server, DB2, Oracle. Acquire data from a variety of different sources, getting it in the right formats, assuring that it adheres to data quality standards, and assuring that users can get that data quickly.
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Enhance current Data Quality framework to be more comprehensive and scalable; using Alteryx, SQL, PowerBI. Alteryx, Banking, Business, Critical Thinking, Data Acquisition, Data Analysis, Data Management, Data Operations, Data Quality, Decision Making, Financial Products, Leadership, Management Reporting, Microsoft Power BI, People Management.
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Data Platforms – Hadoop, Spark, Oracle, Exadata, SQL Server, DB2, MongoDB, Teradata, Splunk. Collaborate with the governance team to develop strategies for MDM including data profiling, data cleansing, and data standardization, data quality management practices to monitor and improve data quality and ensure consistent and accurate master data.
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Perform ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL Database, Oracle databases, and ServiceNow. Expertise in BI and data warehousing principles, including data modeling, data quality.
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Experience must include 6 months in design and development in each of the following: Oracle database; SQL; Google BigQuery; Tableau; Google Data Studio; SAP Web Intelligence; and Salesforce.
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Utilizes experience in database administration; Oracle Database, Oracle Data Guard, Oracle Fusion Middleware or Weblogic and Oracle Enterprise Manager (OEM), Linux OS, Disaster recovery, Database Patching, Capacity Planning, Performance Tuning, and PL/SQL.Architect and Mentor: Serves as the technical lead and manages infrastructure projects.
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Proven experience with database management systems (i.e., SQL Server, Oracle), managing business applications on Windows-based servers, creating SQL database queries using TOAD, Access, SQL Developer, or any similar query tool.
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Data Platforms: Teradata, Couchbase, MongoDB, Oracle, SQL Server, ADLS, Snowflake. 5+ years data science/business intelligence/data analytics experience using common BI tools (Cognos, Tableau, etc) and demonstrating SQL mastery.
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data quality oracle sql jobs Company: Dice in Lahaina, Hawaii
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