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Horizon Business Domain knowledgeand experience, Knowledge of Mandate projects like Value Based Platform andNDW, Experience with claim adjudication engines such as Facets and memberenrollment systems such as NMS, NASCO, Members Edge; Expertise in DataWarehousing Applications using tools like Informatica, Informatica CloudOracle, Teradata and Hadoop.
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Understanding of and experience delivering advanced analytics solutions using one or more common business intelligence platforms required – Teradata, Big data/Hadoop/Spark, data lakes, Machine learning using Python/Spark, Tableau, Real time streaming data using Kafka.
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The Software Engineer will develop a comprehensive migration strategy for our data infrastructure and workloads to GCP. You will handle complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to Big Query in GCP. Implement Cloud based solutions based on various GCP services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL, Cloud functions and Cloud scheduler.
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Cloud and On-Premise Databases: Deep knowledge of Cloud and On-Premise Databases such as Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server. End-to-End ML Implementation: Architect, design, and implement end-to-end ML solutions, from proof of concept to production, showcasing proficiency in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
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Experience recruiting candidates with the following types of skills within Insights & Data:Ab Initio, AWS Cloud, Big Data, Cognos, Collibra, Data Analysts, Data Modelers, Data Quality Specialists, Data Scientists, Data Stage, Hadoop, MDM, Informatica Informatica Data Quality (IDQ),ETL, Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services (SSRS)OBIEE, Oracle PL/SQL, Python, QlikSense, Qlikview, SAS, Scala,Spark, Splunk, Tableau, Talend, Teradata.
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3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra. 3+ years of database systems like Hadoop, Teradata, Redshift, Oracle, MySQL, PostgreSQL, MongoDB, Neo4j, Cassandra.
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Teradata, SQL, Hadoop, or Tableau experience preferred; 3-5 years experience preferred. 3+ years of SQL/Teradata/Hadoop coding. Key responsibilities include utilizing a variety of systems such as Excel, SAS, SQL, Tableau, and other relational data bases to provide analytical support on strategies, ensure goals are met, and propose policy and procedural changes within segmentation structures to produce optimal results.
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Extract and analyze large healthcare claims using SAS, SQL, R, Python, Teradata, Hadoop, etc. Working knowledge of program evaluation/outcomes research methods, predictive modeling and data mining.
$109,100 - $181,800 a yearFull-timeRemoteExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience with and deep understanding of distributed databases such as: Redshift, Snowflake, Vertica, Teradata, etc. Hands-on experience in development in the Hadoop ecosystem, preferably Spark.
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Hadoop, Oracle, Teradata. Design/Implementation/Deployment experience of CI/CD pipelines via Ansible, Bitbucket, Jenkins, Artifactory. Hadoop, Oracle, Teradata. Plan and execute disaster recovery testing.
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Databases Oracle / DB2 / MySQL / Postgres / Teradata / MongoDB / Cassandra / Snowflake. Hadoop Distributions Cloudera / Hortonworks / MAPR / Databricks. Experience in working on AWS ecosystem as a whole and should have experience in migrating ETL pipelines from Talend / Informatica/Abinitio to Hadoop / Glue / Spark.
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3) Working with relational databases and Hadoop Big Data platforms to source and manipulate large datasets, leveraging advanced knowledge of SQL and data warehousing, including TOAD, Teradata SQL Assistant, and Ambari.
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Experience with one or multiple of the following will be highly desirable; Python, Tableau, Jupyter Notebooks, Teradata, Hadoop/Hive, SQL, BigQuery. Advanced SQL experience, preferable with Teradata systems, data mining, and Big Query analytics (Google Cloud.
$84,500 - $204,600 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Knowledge or experience in designing and deploying data processing systems with one or more of the technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, HBase, Teradata, Tableau, Qlik or Other.
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Experience with Spark, Hadoop, MySQL, Hue, Druid, Teradata SQL, Kafka and Pulsar. Experience with BigQuery, BigQuery ML, Domino in GCP is a plus. Experience with Spark, Hadoop, MySQL, Hue, Druid, Teradata SQL, Kafka and Pulsar.
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