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Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines.
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Excellent working knowledge and use of: BI reporting tools such as Tableau, Tableau Prep. Experience creating dashboards and reports, SQL, Oracle SQL Developer Data Modeler, Python.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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This effort also includes the benefit of serving as an integrated solution provider to support the TRADOC DCS G6 as it executes the Armys directives for cloud migration, data center consolidation, data management, portfolio management, risk management framework, and information system continuous monitoring.
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Experience with API development and microservices architecture (REST, GraphQL), RESTful service consumption and integration, Kafka or data streaming platforms. Experience with database technologies and concepts in heterogeneous environment such as DynamoDB, MongoDB, Postgres, MariaDB, DB2, Snowflake, or Microsoft SQL.
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You will have the opportunity to apply your knowledge in computational biology, machine learning, computer science, and statistics to develop and improve algorithms for analysis of multidimensional biomedical data and provide creative solutions to cutting-edge problems in genomics and drug discovery.
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The Senior Bioinformatics Scientist will work with PhD-level bioinformatics scientists and researchers who have single-cell RNseq, single-cell ATAC-seq, spatial transcriptomics, bulk RNseq and ChIP-seq data to investigate mouse and human diseases as well as with other pediatric scientists at BCH. The primary responsibilities will be building pipelines for the analysis, integration and sharing of these data.
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The Senior Datawarehouse/ETL Developer must have DW SDLC knowledge and experience with MS-SQL Server database development, SQL Server Integration Services, Data Warehouse and database modeling and Data Warehouse architecture.
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Proficient in writing SQL queries to perform database validations and ensure data integrity in relational databases like MySQL or PostgreSQL.Experience with continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins or GitLab CI.Familiarity with Jira for issue tracking, project management, and agile development workflows.
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Expert in bulk data migration from Excel & Legacy Systems to SFDC using Apex Data Loader, Demand Tools, and the Import Wizard. Significant Hands on experience in design and development of custom solutions on the Force.com platform including significant work in Apex, VisualForce, Lightning, application integration patterns using Mulesoft and other ETL tools.
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Proficiency in compliance regulations, HR tech best practices, relational database systems, SQL scripting for reporting views, data models, and XML creation for data extraction and interfacing.
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Collect and organize various energy data sources, develop analysis into processes and code using various tools such as Excel, VBA, MS Access, SQL, and SQL Server Integration Services (SSIS), and improve existing processes.
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100% Remote / W2 Only *Overview: Our client, a US Fortune 500 company and a provider of managed Health care, Pharmacy benefits & specialty areas for managed care organizations / employers / government agencies, seeks an accomplished Principal Data and Integration Engineer.
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Develop customized reporting in Tableau and Telerik using energy data and a variety of other data sources. Gathering and consolidating data from varied sources. Data Analytics certification preferred.
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Design and implement ETL for extracting and transforming data from diverse sources, such as: Snowflake, PostgreSQL, and SQL Server databases. Experience in developing projects using Talend with Data Integration and Cloud Integration working with large datasets.
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