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It supports leading cloud-based database providers like Snowflake, Azure Synapse, Redshift, and many on-premise solutions like Postgres, MySQL, and MS SQL Server. Tableau, PowerBI, DDL, DBT, Data lakes, Redshift.
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Data Engineering - You have firsthand experience with database performance tuning, cloud storage and processing technologies (e.g. Redshift, S3, Glue, Lambda, Databricks, DBT), workflow orchestration (e.g. Dagster, Airflow), distributed computing (e.g. Spark, EMR), message queues and streams (e.g. Kafka, Kinesis.
$80,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Hands-on data engineering experience building solutions to extract, load, and transform raw data in the form of several hundred, small data files and web scrapings with a variety of formats using a combination of Python scripting and AWS cloud services such as S3, Glue, Crawlers, Lambda, Step Functions, Redshift, DynamoDB, etc.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Knowledge of modern cloud native data warehouses i.e., AWS Redshift, Snowflake or Azure Synapse Analytics. Familiarity with various operating systems (e.g. Windows, UNIX) and databases (e.g. MySQL, DB2, SQL Server, Oracle, DynamoDB, MongoDB, Redshift etc.
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Experience in Database development using DB2, SQL Server & Snowflake/RedShift. Redshift or Snowflake. Title: Sr. ETL Informatica Developer. Experience in Database development using DB2, SQL Server & Snowflake/RedShift.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Working knowledge of Snowflake or Redshift data warehouses. As part of the Backend Engineering function, and reporting to the Data Engineering Tech Lead, the Data Engineer will be working on planning, engineering and maintaining clients' data warehouses, ETL processes and other data pipelines.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch. Working knowledge with datastores MongoDB, DynamoDB, PostgreSQL, S3, Redshift, Redis, and Elasticsearch.
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Knowledge on AWS Redshift, S3, Snowflake any other similar technologies is highly desired. Strategic Recruitment Manager - Talent Acquisition Group. Strong and Senior Veeva Network Master Data Management Specialist with Minimum (10 – 15) years in IT Industry.
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Experience working in a technical environment with the latest technologies like AWS data services (Redshift, Athena, EMR) or similar Apache projects (Spark, Flink, Hive, or Kafka). Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift.
$183,000 - $271,000 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in AWS Data Analytics platform and related services - S3, AWS Glue, RedShift, Athena, Lake Formation, Lambda etc. Good experience with message driven software patterns (Kafka, MQ) and big data technology ( Hdfs, Hive, Hbase, Spark, Impala, Zeppelin, Jupyter, Cassandra, Elasticsearch, etc.
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Data warehousing and analysis tools including AWS redshift or Google BigQuery or Tableau. Data warehousing and analysis tools including AWS redshift or Google BigQuery or Tableau. As an experienced Growth Marketing Manager, you’ll join our fast-moving PLG marketing Team and focus on accelerating our new users’ journeys to becoming scaled and happy customers, in collaboration with colleagues across our marketing, sales, customer success and product teams.
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Proficiency in Data Analysis, AWS Redshift, AWS S3, SQL, Python, Alteryx, Tableau preferred. As a part of the Chick-fil-A Supply Chain Data Services team, the Supply Chain Data Engineer will design and implement necessary analytics infrastructure on technically complex projects, focusing on developing solutions to data modeling and/or analytics technology needs.
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AWS services: S3, EC2, Redshift, Glue, Athena, EMR, etc. ETL: Experience with ETL tools or frameworks like Apache NiFi, Apache Airflow, Informatica, Talend, etc. In-depth experience with Public Cloud providers (AWS) offerings (S3, RDS, DynamoDB, EMR, Glue, Athena etc.
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Experience with Databricks, Snowflake, AWS Redshift, Google Big Query, Azure Synapse. Experience with Databricks, Snowflake, AWS Redshift, Google Big Query, Azure Synapse. A great product, amazing people and our stable financial history have made us one of the largest used car finance companies nationally.
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