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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, CloudFormation (or Terraform), CloudTrail, CloudWatch, AWS Config, Guard Duty, Secrets Manager, KMS, EC2, Data Visualization Tool: Tableau run on an EC2 or AWS Quicksight), Athena.
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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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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. Ayan worked as an iOS engineer on Robinhood's trust & safety team prior to Sidekick.
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Proficient in data engineering (SQL architecture, ETL, data integration best practices) We support startups working at the forefront of synthetic biology, energy, food, health care, space, construction, genomics, and many other industries.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) Build and maintain scalable ETL pipelines. Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake.
Full-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Minimum of 5 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM InfoSphere DataStage, or any ETL applications.
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What you’ll be responsible for:As a member of the Data Engineering Blockchain team, you own the ETL/ELT pipelines and data warehouse that are used to analyze trends and activity on the blockchain.
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Experience in building ELT/ETL processes using tools like dbt, AirFlow, Fivetran, CI/CD using GitHub, and reporting in Tableau. About The Role & TeamWe are seeking a Sr. Data Engineer to join our Data Engineering team within our Enterprise Data Insights organization to build data solutions, design and implement ETL/ELT processes and manage our data platform to enable our cross functional stakeholders.
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
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Expertise in different types of testing like Automation testing, Manual testing, Integration testing, System testing, Smoke testing, Regression testing, Black box testing, Functional testing, Database testing, GUI testing, GIS Testing, ETL Testing, Web/UI and (UAT)User Acceptance Testing.
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Demonstrated experience with ETL pipelines and workflows - Jenkins / Airflow / any other ETL orchestration framework. Demonstrated experience with at least one visualization tool and one library from - Tableau, Tableau CRM,Power BI, D3, Apache e-charts, Streamlit, Gradio, R-Shiny, Dash, etc.
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Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark. Familiar with ETL (managing high-quality reliable ETL pipelines) Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
$165,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.) data movement (real-time replication or ETL/ELT), multiple clouds (AWS, Azure Google, Alibaba), cloud analytics destinations (Snowflake, Databricks, Kafka, RDS, Synapse, BigQuery, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Jason worked as a PM on Robinhood's trust & safety team prior to Sidekick. His hobbies used to include kickboxing and scuba before becoming a founder, now he just tries to touch grass every once in awhile.
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etl job in San Francisco, CA
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