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Extensive knowledge of data management and analysis tools including Databricks, Snowflake, Domo, and Tableau (Teradata and Cognos a plus; Splunk, Kibana, DataDog, New Relic, or other monitoring tools an huge plus.
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Familiarity with Teradata, Data stage, Informatica tools (EDC, Axon, IDQ, MDM, power center), Hadoop and mainframe platforms. Experience in data management and Cloud data platforms.
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Familiarity with a broad range of data platforms (e.g., Oracle, SQL Server, MySQL, Hadoop, Netezza, Teradata, RedShift, Snowflake) and Business Intelligence/data visualization tools/platforms/environments (IBM Cognos, SAS and SQL.
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Master Data Management, Data Stewardship, or Data Governance experience. Prior experience as a Business Intelligence Developer or Data Analyst supporting business intelligence, reporting, analytics or data warehouse projects.
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Experience withbusiness operations systems, particularly those that may be in use in a Pharmacy Benefit Management setting (Claims Processing, Prior Authorization, Telephony, Membership, etc.) Oversees and/or participates in the research and evaluation of new business intelligence, analytics and/or data visualization technologies.
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We have expertise in transforming legacy Teradata, Oracle, Hadoop, Netezza, Vertica, Greenplum along with ETLs like Informatica, DataStage, AbInitio & others, to cloud-based data warehousing with other capabilities in data engineering, advanced analytics solutions, data management, data lake and cloud optimization.
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Penetration Testing, Vulnerability Management, Virtualization (Citrix, ESX, ESXi, HMC), Identity and Access Management, Active Directory and Data Center Operations. Experience with configuration and security features for two or more of Operating Systems (Windows, UNIX, Linux, z/OS), Network Technologies, Business and IT Resilience, Storage (SAN, NAS, DASD, VTL), Database (SQL, Teradata, Oracle, DB2), Middleware, Batch Processing, Data Loss Protection/Prevention, Cyber Security.
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Knowledge of data concepts (Data Warehouse, Data Lake, Data Model, DB Design, Data Mapping)Experience with:ETL tools, primarily Talend or similar (Ab Initio, Informatica)SQL (medium to complex queries)Database (SQL Server, Teradata, or similar)Knowledge of:AWS (s3, IAM, Glue, SNS, SQS, VPC, Athena, EC2, etc.
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Demonstrated experience using multiple databases and tools and using leading business intelligence, analytics or data visualization technologies. A bachelor’s degree in business intelligence, management information systems, mathematics, statistics, analytics, computer and information sciences or similar is required.
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Masters Degree inOperations Engineering, Data Science, Management, Engineering, Business Analysis, or a related field. Bachelor's Degree in Operations Engineering, Data Science, Management, Engineering, Business Analysis, or a related field.
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Job Responsibilities: Provide information by assembling, interpreting, and summarizing data, preparing reports, making presentations of findings, along with analyses and recommendations to Senior Management Develop/ Support qualitative model for simplified forecast estimation process, designing the workflows and assisting with technical requirements for implementation.
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Experience migrating data platforms to Databricks including Hadoop/Cloudera, Teradata, Redshift, etc. 8+ years of professional experience with Data Management technologies and a minimum of 8 years of EDW Experience with 3 - 5 Years of Experience with Databricks, Lakehouse Architecture, and/or Spark/Scala.
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Provide information by assembling, interpreting, and summarizing data, preparing reports, making presentations of findings, along with analyses and recommendations to Senior Management. Experience in default mortgage banking experience, risk management, loss forecasting analytics.
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10+ years of related experience in data management, analytics, and strategic reporting. Firsthand development and maintenance experience in Business Intelligence and data analysis tools such as Alteryx, Python, SQL, Cognos, Excel, and Business Objects to create analytic insights for data visualization.
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Must have prior experience with end-to-end implementation of Snowflake cloud data migration from on-premises preferably from any RDBMS like SQL Server, Oracle, Teradata etc. Should have hands-on experience in AWS Glue/Pyspark Data Frame/DataStage/Matillion/Informatica and AWS data storage and management technologies such as S3.
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