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Architect and implement ETL platforms with open-source technologies such as Spark on Kubernetes, EMR, S3 / SQS Iceberg, Delta Lake, etc. The DnR Data Transform team provides large-scale ETL capabilities to security big data pipeline.
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Very strong hands - on experience working in ETL (Extract / Transform / Load) processesDevelop complex real time interfaces using Boomi API management with built in transformations as required by business.
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Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality. Develop, optimize, and manage data pipelines for ETL processes using azure Databricks, with a focus on data integrity and quality.
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30% Develop Data Quality checks 10% Develop and maintain ETL routines using ETL and orchestration tools such as Airflow 10% Implement database deployments using tools like Schema Change 10% Perform ad hoc analysis as necessary.
$80 - $90 an hourExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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And data integration (ETL) development using Informatica, Talend, AWS Glue or similar. Design and lead the implementation of frameworks and best practices for data ingestion, data integration and ETL processes.
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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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You have experience with ETL/ELT and data warehousing using tools such as dbt, Azure Data Factory, Matillion and/or Fivetran. Supporting self-service data pipeline management (ETL) and self-directed learning process.
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Experience with Spark and ETL processing pipelines is helpful, but not required. streaming systems (e.g., Apache Flink, Apache Kafka), resource management systems (e.g., Apache Mesos, Kubernetes), or Identity and Access Management (e.g. Apache Ranger, Sentry, OPA.
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Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra.
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You have the experience of building and running data lake platforms on AWS. You have exposure to operating PySpark-based ETL Jobs in Apache Airflow and Amazon EMR. Expertise in monitoring services like Amazon CloudWatch.
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Drive data warehouse architecture design, modeling and ETL development according to privacy compliance requirements. We are adding privacy features to Apache's big data ecosystem (Spark, Hive Presto), and building world-class data security & privacy framework for big data tech stack.
$212,800 - $389,500 a yearFull-timeExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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Develop, optimize, and manage data pipelines for ETL processes using Clienture Databricks, with a focus on data integrity and quality. Data Platform Engineer with Databricks and Unity Catalog.
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The Data Engineer's responsibilities include designing, developing, and deploying Data Integration (ETL and or ELT) solutions using agreed upon design patterns and technologies; working with a large variety of data sources from json, csv, Oracle, SQL Server, Azure Synapse, Azure Analysis Services, Azure SQL DB, DataLake, polybase; and Streaming data sets.
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Design, develop, debug, and modify components of machine learning and deep learning systems and applications, including data/ETL and feature engineering pipelines. Our work spans across a variety of datasets and Machine Learning models and across a diverse technology stack ranging from Spark, SageMaker, Airflow, DataBricks, Kubernetes, AWS and much more.
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Job Title - ETL/Informatica Developer. Design, develop, validate, and troubleshoot the ETL workflows and datasets in Informatica and Alteryx for analysis, forecasting, and report delivery.
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etl job Company: 3ktechnologies in Seattle, WA
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