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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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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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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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We are looking for a Data Operations Manager – a specialist / expert in Retail data handling, ETL, Data Mining, Data Warehouse Design and Management, Scripting / Programming, Building efficient data pipelines, querying large volume of data to extract actionable analytical insights to join the Media/Advertising Analytics team within the Brand Partnership Universe, that is in the spotlight with focus to turn rich data into actionable insights.
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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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Demonstrated experience with ETL pipelines and workflows - Jenkins / Airflow / any other ETL orchestration framework. We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Hand-on knowledge of ETL and data warehouse technologies (i.e. dbt, Databricks, BigQuery, Redshift, Airflow, Snowflake) We're looking to hire a Data Scientist to take the lead on advanced analytics and predictive modeling to serve the needs of our business today and for a broader scale years from now.
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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 like Tableau run on an EC2 or AWS Quicksight, Athena.
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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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Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches. Data analytics tools and platforms, such as Tableau, Looker, and Power BI.
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We're hiring generalist software engineers to work on web applications, data mining, machine learning/data science, data transformation/ETL, data modeling, database scaling, infrastructure, devops, and more.
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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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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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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 with data engineering concepts and challenges including data warehouse solutions, ETL, and distributed systems, as well as familiarity with and experience manipulating data in various formats, such as: avro, neo4j, json, cef, csv, w3c, pandas.
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