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8+ years of experience architecting data warehouses such as BigQuery, Redshift, Databricks. Develop ETL batch data pipelines with BigQuery or similar and orchestrate with modern orchestration tools (Airflow, Puppet.
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10+ years experience in data engineering with data warehouse technologies. As a member of our data engineering team, you'll be setting standards for data engineering solutions that have organizational impact.
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Create, maintain and monitor data flows in Spark, Hive, SQL and Presto for consistency, accuracy and lag time. Presto - fast parallel data warehouse and data federation layer. Create different consumers for data in Kafka using Spark Streaming for near time aggregation.
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Experience managing cloud data warehouse such as Google BigQuery, Snowflake, Databricks, or Amazon Redshift. 2024 is a year of incredible change at CodePath and we're looking for the right data engineer to lead the charge on our small, skilled, and growing team in the next phase of our exponential growth and impact as we transform computer science education.
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Knowledge of data governance and security practices specific to Databricks, AWS and Google Cloud, including IAM (Identity and Access Management), encryption, and access control. Knowledge of Databricks and AWS machine learning and AI services, such as Databricks MLFlow and Amazon SageMaker, for leveraging data insights and building intelligent applications.
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As a data engineer on Kustomer's Engineering team, you will be responsible for growing our business by leveraging advanced data-engineering techniques to enhance our data architecture and streamline data-ingestion processes.
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Be the company's expert on data administration and master data management. Have good working knowledge of AWS data infra systems and Terraform. Bring a system-oriented and software engineering mindset to the Data Engineering practice.
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We are looking for a Data Engineer II to join the Data Engineering team and partner with our Analytics, Engineering, and Data Science teams to analyze data requirements, build and maintain data pipelines to consume data from various product and service application, and ensure all data are flowing through a modern ELT (extract/load/transform) process to extra.
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You have deep experience creating data warehouses using Timescale, Snowflake, and/or BigQuery, and you also bring experience using DevOps tools and solutions like Docker, CI/CD, and AWS. Design and Implement ETL Solutions: You'll be responsible for implementing our overall ETL approach, including accessing & setting up blockchain nodes to pull from, sourcing data from 3rd parties, and modeling our internal schemas across our PostgreSQL database(s.
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The team's scope covers data pipeline development, search infrastructure, web scraping, detection algorithms, internal toolings and data quality. Alt's compensation package includes a competitive base salary benchmarked against real-time market data, as well as equity for all full-time roles.
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Supporting client mainframe application modernization projects through the solution design, calibration, code and data conversion, testing, and validation phases. Engaging in detailed conversations with solution architect(s) and technical leads regarding options for customizing and modifying code, and data conversion tools.
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Whether you're looking to find your forever job, get some extra cash for that upcoming vacation, expand your skill set, GoTu is the platform for you. Active dental hygiene license in PA.Knowledge of dental procedures and terminologyUnderstanding of HIPAA regulations and ability to maintain patient confidentialityExcellent communication skills to educate patients on oral health care practicePandoLogic.
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Knowledge of data warehousing concepts and experience with tools like Redshift, BigQuery, or Snowflake. Hands-on experience with big data technologies such as Hadoop, Spark, or similar frameworks.
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Hands-on experience and knowledge of data lake technologies (Databricks, Snowflake, etc),data storage formats (Parquet, Avro etc.) 7+ years of experience in data strategy, data architecture, modeling, solution design, data engineering, or a similar role.
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You have development experience with data tools such as Snowflake, Google BigQuery, Databricks Lakehouse, AWS Athena, Apache Trino, or Presto. Experience with ETL and Data pipeline orchestration tools like Apache Airflow, DBT, etc.
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extra job Title: data entry in Allentown, Wailuku, Hawaii
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