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Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) As a Data Engineer you will be working in one of the world's largest and most complex data warehouse environments.
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The BI Developer will provide enterprise-wide data warehouse expertise emphasizing data design, access, usage, security, and quality of information assets. Experience with analytical programming languages such as SQL, PL SQL, Python, Shell Scripts.
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Data Warehouse, Test Script Development, Oracle DB, OBI, PL/SQL. Desirable skills include Oracle DB, OBI, and PL/SQL. These activities include (not an exhaustive list): assisting with operations and maintenance of the existing LPO data mart, assisting with requirements gathering, determining level of effort for various tasks, contributing during data modeling sessions, developing data processing jobs (ETL.
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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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This position is responsible for technical analysis, design, development, testing, and deployment of IT solutions as needed by business or IT. The senior developer works closely with other subject matter experts and works on delivering technology including ETL / ELT, batch processing using Informatica, shell scripting, PL/SQL to support a multitude of data warehouse and its downstream.
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Major : Preferred: Bachelor's Degree in Statistics, Math, Business Systems or Master's Degree with 5 years of experience in Informatica ETL Developer role in Data Warehouse projects, Enterprise Data Warehouse, OLAP, and dimensional data modeling.
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Prefer current SQL database certification upon hire: Microsoft Certified Solutions Engineer (MCSE), Oracle Certified Professional (OCP), or SAP HANA Data Modeling. Must have exposure to reporting tools, database services (SAP HANA, SSIS, Apache Nifi), or data modeling, warehouse, and virtual universe design.
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Experience with Oracle RDBMS, Oracle Warehouse Builder, Oracle Data Integrator, Oracle PL/SQL. Knowledege of IBM-Cognos Analytics 10/11 is highly desired. Conducts application administration and database administration for data repositories to include data warehouse, data mart, data cubes, materialized views, etc.
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Familiarity with dimensional modeling, enterprise data warehouse, and master data management. Experience with common database platforms (SQL Server, Oracle), PL/SQL, T-SQL queries.
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Engage in the design and development of various components of the Corporate Risk Data Warehouse using Oracle SQL and PL/SQL, data warehouse/ETL tools, and Unix Scripts.
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Leveraging SQL, PL/SQL, T-SQL, SSIS, SSRS, SSAS, or other data tools to build innovative solutions that address business needs. Experience with Snowflake or other data warehouse solutions preferred.
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Minimum 5 years of experience as Reporting analyst creating SQL based reports for financial risk management and functions in snowflake for large scale data warehouse. Looking for a strong reporting Analyst for Financial Risk management who has hands on SQL experience in large scale Data Systems.
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Understanding of data integration and ETL tool( Talend, PL/SQL, Pyspark etc) Basic Understanding of data engineering and data warehouse concepts and principles.
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Serve as a mentor to fellow entry Data Developers in assisting in the creation of a sustainable data warehouse ecosystem. Develops data transformation solutions using Informatica PowerCenter, Data Services, Shell scripts and advance SQL. Assists in database performance tuning including analyzing and tuning of complex SQL statements.
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The desired candidate should have experience in creating, maintaining, and supporting enterprise Data Warehouse and SQL Scripts. Hands-on experience in SQL and PL/SQL language with a strong understanding of databases and technical innovations.
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