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Data Management experience in : NOSQL, Cassandra, MongoDB, Oracle, DB2, SQL Server, Event Streaming, Kafka, MSK, Azure Event Hubs. Data Management experience in : NOSQL, Cassandra, MongoDB, Oracle, DB2, SQL Server, Event Streaming, Kafka, MSK, Azure Event Hubs.
$123,165 - $159,390 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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Performing payroll reconciliation, leveraging custom-built SQL queries and Oracle Business Intelligence (BI) reports to ensure data integrity. Implementing compliant Oracle Cloud HCM modules, including Core HR, Payroll, Benefits, Absence Management, and Talent Management, and working with the business on data conversions and data analysis to retire legacy systems.
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5+ years of experience in one of the following or any combination of: ADLS, Python, Hadoop, SQL, Databricks, Oracle Fusion Middleware, Azure DevOps, GitHub, ML Studio, Oracle Cloud Infrastructure.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Python. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
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Acting as the subject matter expert and providing troubleshooting, Change Management, code review, defect tracking, technical documentation, training, analytics and reporting for software applications managed by IT (PL/SQL, Oracle Forms, Oracle SOA, Apex.
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Experience with at least one of the following database technologies - MongoDB, PostgreSQL, Oracle, SQL Server, MySQL, Redis. A fully remote work environment with an international and diverse team.
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As the Lead Engineer, Financial Systems, you will work closely with Accounting, Procurement and Business Line Group staff in the support of Oracle applications, including the Oracle General Ledger, Receivables, Payables, Purchasing, Inventory and Assets modules.
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2+ years with databases such as SQL Server, Oracle, MySQL. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. They enjoy the challenges of consulting and thrive to knock the socks off of clients.
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Experience with data visualization tools such as Power BI and Tableau. Experience with cloud based data services offered by Azure, AWS and Google. 2+ years data warehouse, dimensional modeling design and architecture.
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3 to execute supply planning within ERP;Writing SQL reports and organizing data from ERP developed data tables into meaningful reports;Advanced big data skills to determine key trends and patterns by manipulating multiple data resources, this requires advance SQL and excel levels; andDeveloping sustainable reporting to be used by operations, supply planning, inventory planning and logistics to understand supply planning deployment.
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Strong, proven Oracle Database Performance Diagnosticskills (at both the SQL and system levels). Strong programming experience in PL/SQL and UNIX Shell Scripting and/or Perl (preferably.
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Strong proficiency in SQL and database technologies such as MySQL, Oracle, or PostgreSQL. Experience with data pipeline and workflow management tools such as Apache Airflow or Luigi. Strong proficiency in SQL and database technologies such as MySQL, Oracle, or PostgreSQL.
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8 years Statistical languages and tools (R, SQL) 8 years Database Environments (Snowflake, Oracle, etc) 8 years Statistical languages and tools (R, SQL) 8 years Database Environments (Snowflake, Oracle, etc.
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This role must have a broad range of skills and expertise including the ability to manage the analytics product life cycle, understand the capabilities of a variety of different software and cloud-based solutions, establishing and guiding measurement best practices, interpreting the measurement needs of the business from discovery through reporting and insight delivery, to maintenance, and crafting a story of explanation and insight that is easily understood by a non-technical audience.
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