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Job Title: Data Engineer/ Data ArchitectLocation: Corvallis, OR – 5 Days Onsite Role Job Description: At least 8 to 10+ years’ experience in data engineering , AI and ML and Aws/Azure Architect, Design and implement distributed data processing pipelines using Spark, Python, SQL and other tools and languages prevalent in the Big Data/Lakehouse ecosystem.
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The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
$182,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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OBIEE and Power BI; performing data profiling and analysis using Informatica Data Quality (IDQ); and pre-processing data to identify macro trends or information. Creates and migrates Extract, Transform, Load (ETL) code and workflow mappings in Informatica to Amazon Web Services (AWS) Data Lake and Wherescape Red ETL. Develops OBIEE reports and configures Business Intelligence (BI) scheduler.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift or equivalent.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components.
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Position DescriptionOur Senior Data Engineer is a key member of the engineering staff working across the organization to provide a friction-less experience to our customers and maintain the exit highest standards of protection and availability.
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Build the processes required for optimal extraction, transformation, and loading of data. Understanding of data warehouse concepts including data modeling and OLAP. Advanced programming experience and big data experience.
$236,500Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Maintain detailed documentation of your work and changes to support data quality and data governance requirements.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Expert in applying SCD types on S3 data lake using Databricks/Delta Lake.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data lake or data warehouse technologies, including Databricks. Experience with AWS cloud native services for big data storage and processing. As a data management architect and data engineer, you will specialize in modern data and integration platforms such as Informatica, Reltio, Snowflake, and MuleSoft to connect, harmonize, and transform data to deliver relevant insights.
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Working with the Data Architect and business groups the Lead Data Engineer will create pipelines, databases, and data lake storage for critical data to be used enterprise wide by internal business groups and external vendors.
$141,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in a comprehensive range of data engineering disciplines, including data and stream processing technologies (e.g., Spark, Flink, Kafka, Hudi), data serialization formats (e.g., Avro, Protobuf), workflow orchestration tools (e.g., Airflow), and Data Stores (e.g., Postgres, ClickHouse, Redis.
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lake data processing jobs Title: data engineer
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