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3+ years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. For Senior Data Engineer (III) 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.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Technical Engineering Skills – this team operates in an Azure + Databricks Lakehouse. The Sr. Software Engineer – Data will partner with other engineers, architects, analysts and product managers to implement scalable, sustainable solutions.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with Databricks (on Azure or AWS). Job Title: Data Engineer 2. Experience with data warehousing, ETL/ELT processes, and data integration platforms (i.e., Airflow, MuleSoft, SnapLogic.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Use of tools like Apache Airflow, ADF, or Databricks to orchestrate and schedule data workflows. Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading.
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Data Platform Engineer with Databricks and Unity Catalog. Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Mentor and train other data engineers on best practices for data engineering and Databricks usage. Develop and implement effective data architecture solutions using Databricks and Lakehouse.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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In-depth knowledge of the Databricks Unified Analytics Platform and its features for collaborative big data analytics. Optimization of Spark jobs and Databricks clusters for better performance.
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Note: We are looking for a data platform engineer who specializes in data security.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The team uses a variety of tools, technologies, and languages to build software like Delta Lake, Hadoop, Kinetica, Solr, Spark, Kafka, Python, Java, Ruby, Scala, Airflow, Luigi, EMR, Databricks, etc.
$124,000 - $204,250 a yearExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency with Databricks, Terraform, Data Streaming, DBT, RBAC (Role Based Access Control) a strong plus. Job Title: Data Engineer. Experience in cloud data engineering (S3, RDS, Redshift.
$102,000 - $154,000 a yearExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus. Working with our business operations and Foundation strategy program partners, the team supports the management of on-premises and cloud data infrastructure, data security and access controls and EDS technology stack and roadmaps.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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In this role, you will help define and build the data tech stack including Snowflake, AWS Redshift, Databricks, Python, Scala, SQL, SparkSQL , Talend, Airflow, AWS Glue, Tableau, AWS Sagemaker.
$140,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Basic Qualifications/ Experience: Experience in designing and implementing ETL processes using Databricks notebooks for efficient data extraction, transformation, and loading. Direct Client - Sr Lead Data Engineer Apache Spark, Spark Core, Spark SQL, Spark Streaming – Data Bricks Location: Hybrid (Seattle, WA) Length: 12 Months Job description This position contributes to Client success by building enterprise data services for analytic solutions.
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Bonus Qualifications Experience with data warehouse platforms (e.g. Redshift, BigQuery, Databricks, You will join a diverse, experienced team with rapidly growing scope and responsibility while also having access to one of the most unique data sets in the autonomous vehicle industry.
ExpandApply NowActive JobUpdated 11 days ago
databricks job Title: data engineer in Seattle, WA
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