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Over 8+ years of professional experience in roles such as Data Engineer or Developer, showcasing a strong technical command over Snowflake, dbt, Airflow, SQL, and other pertinent technologies.
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You will be primarily developing Data Warehouse Solutions in BigQuery/Snowflake using technologies such as dbt, Airflow, Terraform. ELT (Bigquery, dbt, Airflow, Kafka) Extensive experience with Bigquery or similar cloud warehouses (Snowflake, Redshift.
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2-3 years of experience in building cloud-based data systems using Airflow, DBT & Snowflake or similar technologies. 2+ years working knowledge of data platform (AWS policies and roles, AWS DMS, Ansible, Terraform, Snowflake.
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2+ years in data transformation and task scheduling tools such as Airflow and DBT. Responsible for deploying and maintaining data orchestration and scheduling platforms like Airflow and/or Kafka.
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Development of data transformations with dbt, advanced analytics, and reporting solutions on Looker to provide actionable insights to various stakeholders. 2+ Business Intelligence tooling - Experience in maintaining BI tools such as Tableau or Looker.
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Build DBT models to transform our raw data into high-quality data sets that produce actionable insights. Private student loans - low rates, people-first service, and flexible payments. Implement and enforce data quality standards, data validation, and data governance processes to ensure data accuracy and reliability.
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Provision, configure, and manage cloud database instances on various platforms, including Snowflake, Redshift, AWS (RDS, Aurora), GCP (Cloud SQL), and Azure (SQL Database, Cosmos DB). In this role, you will be responsible for the administration, maintenance, and optimization of our cloud-based databases on various platforms, including Snowflake, Redshift, AWS, GCP, and Azure.
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8+ years data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
$130,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This person will help our data engineering initiatives with a particular focus on leveraging AWS, GCP, Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, and others. Advanced-Data Architecture : Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
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Exposure to DBT, Airflow, Astronomer and Qlik. Plan, design, develop and maintain cost-effective and high-performance data models, data architecture and data integration pipelines in snowflake following the best practices and standards of data warehousing concepts.
$87,430 - $146,880 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience in data engineering, with a strong background in Apache Spark and cloud-based databases such as Snowflake. Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications.
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Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker. Experience with Postgres, Redis, Kafka, Airflow.
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Experience with MPP databases such as BigQuery, Redshift, or Snowflake. Experience with ETL orchestration tools like Apache Airflow and Google Dataflow. Expertise in visualization technologies like Looker, Tableau, or Qlik Sense.
$152,000 - $205,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Moderate (3-5 years) proficiency working with the following technologies, processes, and tools:ToolsAzure DevOps (ADO), JIRA / JIRA X-RAY, HPQCSQL / SnowflakeETL - Informatica, Airflow, ODI, SSIS, AWS GlueCypress (nice to have)LanguagesPython, Java, SQLProcessesScrum / AgileSCALE / SAFe.
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Experience with modern columnar data warehouses such as Snowflake, Redshift, BigQuery. Experience with orchestration tools such as Airflow, Dagster, or Prefect, with big data tools such as Kafka & Spark, and with dbt.
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