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Knowledge of database technologies (e.g. cloud, SQL, Oracle PL/SQL, Snowpark, Snowflake, PostgreSQL). Implementing ETL pipelines within and outside of a data warehouse using Python and Snowflakes Snow SQL. Advanced.
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Required Skills: 4+ years of experience in Level-3 Production Support activities with hands on experience in Oracle SQL and PL/SQL, Unix shell scripting, AutoSys, Ab>Initio, Bit Bucket and Service Now.
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Will be able to create SSIS and SSRS packages, exposure to statistical skills (Python R) as well as experience with machine learning models is a preference. 3 to 4 years of analytical experience with knowledge of a structured query language (e.g. MS Access, VBA, T-SQL, or PL/SQL) to develop, modify queries, analysis, reporting along with experience with stored procedure statements, Functions and other database objects.
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Experience performing data related development tasks (I.E. ETL work with Python, or PL-SQL/T-SQL database development, and/or reporting based development with Drools/other equivalent tools for business rule management systems.
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Experience with scripting languages such as JavaScript, Python, Bash, PL/SQL, SQL, PHP. Hands-on expertise with Java, JavaScript, C#, Python, and object-oriented programming. Leidos is currently seeking a Software Engineer (SWE) for the Visualizing Enterprise Geospatial Analytics (VEGA) Business Intelligence tool on the Sustainment for Analysis Services (SAS) Program.
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We are a team of forward-looking professionals in need of a strong candidate with these key required skills: Drupal Administration, Ansible Automation, Relational Databases (PostgreSQL, DB2, or Oracle), Agile Development, and Modern Development Support (PHP, Java EE with SpringBoot, Python, C# with.
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Hands On Technical - Oracle, PL/SQL, DB, Big Data, Spark, scala. Experience in Linux/Unix Shell scripting(mandatory) and Python(optional). Big Data with Oracle, Pl/SQL programming.
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Experience on programming (SQL, PL*SQL, COBOL) and scripting (windows, Java, Python) Power BI, Python Scripting. This could be a SQL developer w/ some ETL or vice-versa. Knowledge on master data management, data profiling, data quality, data cleansing, data warehousing and BI.
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Excellent SQL, PL/SQL, and Database Skills - Python / R are a plus. The Data Warehouse ETL Developer is responsible for application development tasks and assignments related to data integration as well as preparation of detailed specifications, diagrams and other programming structures related to ETL processes.
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Knowledge in Big data tools like Python, Spark, Hive etc. Knowledge in Big data tools like Python, Spark, Hive etc. Preferably in Capital Markets / P&L estimation and forecasting / Risk Calculation.
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Demonstrated proficiency with common higher education IR data technology (e.g., MS Office, PowerBI/Tableau, R/Python/ SPSS / SAS , PL/ SQL , Banner, Cognos) in a higher education setting.
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Basic troubleshooting using one or more of the technologies like SQL, PL/SQL, DWH, ETL and Cloud Technologies and tools. Understanding of any one of the scripting tools for basic automations - Perl/Python/UNIX Shell.
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Analysis, Design, development, support and Enhancements of ETL/ELT in data warehouse environment with Cloudera Bigdata Technologies (with a minimum of 8-9 years’ experience in Hadoop, MapReduce, Sqoop, Py Spark, Spark, HDFS, Hive, Impala, Stream Sets, Kudu, Oozie, Hue, Kafka, Yarn, Python, Flume, Zookeeper, Sentry, Cloudera Navigator) along with Oracle SQL/PL-SQL, Unix commands and shell scripting.
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Development background of any of the following programming languages (Python, Java, shell scripting, PL/SQL) Experienced in containerization solutions (Kubernetes and Docker) and Microservices on GCP.
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Java and Python programming - Oracle PL/SQL development experience. Understanding implementing Maximo in cloud architectures (IBM Cloud FedRAMP) Minimum of 5+ years of experience as Technical Functional resource of IBM Maximo Enterprise Asset Management Software is required.
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