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Warehousing: Experience in Snowflake Data Cloud, SQL Server, Azure, AWS Redshift, Google Big Query. Integration: Databricks, Talend, SSIS, Pentaho, Informatica or similar. Data Architect who will closely work with Business Analysts in-order to design and develop the One-BI data warehouse which will be used as Enterprise-wide reporting system.
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Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift. Must have 2 plus years of experience in implementation of Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift.
Starting at $160,093.9 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our Connectivity and Data Integration team works diligently to build order and resulting capabilities and secure data exchanges for providers and care teams across the country. Manage integration projects for our clinical data feeds and order/result interface projects.
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Development 1+ years of Experience with AWS/GCP Cloud or equivalent on data integration with Glue, Kafka, Elastic Search, Lambda, S3, Redshift, RDS, Kubernetes, or BigQuery ecosystems.
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Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud-based data platforms and Data Streaming technologies, Cloud Azure and GCP platforms.
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Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, TIBCO, etc. The Commonwealth of Pennsylvania is looking for a Senior Data Architect/Engineer to join its team of analytics professionals to support its Pennsylvania Longitudinal Data System (PALDS) data integration services as well as system deployment and management efforts.
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5+ years hands-on experience with building cloud production data solutions leveraging services and technologies such as AWS EC2, S3, Redshift, RDS, Glue, Athena, Experience with Data Management methodologies and practices such as data warehousing, data integration (ETL/ELT), visualizations, metadata management, data security, data governance, data quality and analytics.
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This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps, and integration capabilities.
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
$87,000 - $115,500 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have 2 yrs of exp w/: Data modeling, data warehousing, & building high-volume ETL/ELT pipelines End to End; data profiling & data quality tools; at least 1 MPP database tech such as Redshift, Synapse, BigQuery or SnowFlake; Cloud Orchestration tools such as Airflow, Azure Data Factory ,mng complex dependencies & strict SLA's.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Build and maintain highly available, high-volume 1st party pixel systems for data gathering and Shopify integration.
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Experience working with large data sets, mapping data sets with other joint tables, and running data queries and tables from Redshift into Looker. Advanced Looker/Tableau reporting and analytics, including but not limited to building reports, dashboards, and improving data integration to improve insights.
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Responsibilities include overall programmatic operation and integration; directly supporting the Chief Information Officer (CIO) Application program manager in day-to-day execution. Knowledge of HTTP Server, Apache Tomcat, WebLogic DNS and databases (Oracle, SQL Server, RedShift, others.
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Utilize Python, SQL, GitHub, Redshift, Databricks, and dbt to design and secure data models, queries, and data integration workflows. Your expertise in compliance frameworks, coupled with your technical skills in Python, SQL, GitHub, Redshift, Databricks, and dbt, will be instrumental in driving the success of FanDuel's data security initiatives.
$158,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in implementing data lake systems using cloud native technologies such as S3, Redshift, EMR, Hive, Presto, Spark. Design and development of enterprise systems, specializing in data loading, data pipelines, distribution, management & integration technologies.
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