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Sidekick is an open source ETL framework for syncing data between SaaS tools (Salesforce, Zendesk, Notion, etc) to vector stores, a necessary step in building GPT powered applications. You ideally have a background in data engineering and should be just as comfortable making architectural decisions as implementing them in code.
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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), Microsoft Azure Data Factory, AWS Glue, IBM InfoSphere DataStage, or any ETL applications.
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Experience in developing an end-to-end AWS native platform for building Data lakes (S3, Glue (Crawlers, ETL, Catalog), IAM, CodePipeline, CodeCommit, CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena, AWS AI (Bedrock, SageMaker, Q.
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Develop and maintain ETL processes to ingest, transform, and load data from various sources into Databricks Delta Lake. Solid understanding of data modeling, ETL processes, and data warehousing concepts.
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Supervise, train, and oversee the work of the Associate Director of PM and Facilities, PM Administrator, Legal Administrative Coordinator, Billing Specialist, and Data and Finance Manager.
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Full Time] Data Engineer at Psychic (United States) | BEAMSTART Jobs. Data integration platform for LLMs. Ayan worked as an iOS engineer on Robinhood's trust & safety team prior to Sidekick.
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Own and evolve the core of the data pipeline and lifecycle at Directly, whether that involves growing the data model and schema, or implementing systems for data quality and furthering data management through ETL, or improving the efficiency of data ingest.
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Responsibilities will vary depending on department of assignment (e.g., Emergency Room/Clinic, advisory to non-medical administrator, infection control, nurse/health education development, quality assurance, nurse anesthetist, etc.
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This should also include a strong background in data engineering, with expertise in data modeling, ETL processes, and cloud technologies. Monitor and optimize ETL jobs, database performance and data warehouse queries.
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The LAUNCH Program Administrator will work closely with Principal Investigators (PIs) of the LAUNCH program grant responsible for administrative management, including trainee interview, recruitment and appointments, clinical training programs and educational curriculum, accreditation and compliance, NIH grant reporting and policy compliance, subaward contract management, and financial reporting and analysis.
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Experience with ETL/ELT processes, data integration, and data governance in a data warehouse environment. You'll work on challenging projects, from data modeling and ETL processes to performance optimization and data governance, to support the needs of our data-driven organization.
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Participate early in the development of a robust data foundation and infrastructure, implementing data architecture, quality control, ETL, build pipelines, reporting systems, and self-service tools as the company grows.
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Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. SnowFlake,Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar). 3+ years' of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Collaborate with technical teams to leverage technology solutions for knowledge management within data center construction projects, including document management systems, collaboration platforms, and data analytics tools.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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