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Data pipeline experience. Software Resources has an immediate job opportunity for a Pipeline Engineer with a major corporation in Seattle, WA. Our tenant is a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
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We are looking for a talented and forward-facing Data Pipeline Engineer who will be a critical part of a fast-moving Marine Corps product development team. CommIT Enterprises, Inc. is seeking an Data Pipeline Engineer to join the team in Charleston, SC- *this contingent position is remote.
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Software Resources has an immediate job opportunity for a Pipeline Engineer with a major corporation in New York, NY. 3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies.
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Build next-gen cloud based big data infrastructure for batch and streaming data applications, and continuously improve performance, scalability and availability. The Ad Intelligence team is under Ad Platforms and its mission is to transform advertising and Ad platform with data and AI across TV and streaming video.
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The candidate should have expertise in data modeling, SQL, Python, R, data warehousing, big data technologies, data pipeline construction, data quality, cleansing, version control, cloud services, machine learning, feature engineering, deep learning, and natural language processing.
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Data Pipeline Construction - Develop and maintain end-to-end data pipelines for streamlined data processing and analysis. Leverage cloud platforms (e.g., AWS, Azure, Google Cloud/BQ, Databricks) for scalable and efficient data processing and storage.
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Must-Haves 9+ years of experience Very strong programming skills in Scala, Java and/or Python Strong experience and knowledge of Spark/Spark SQL Experience writing automated tests and building test frameworks from scratch AWS experience is a must EMR, S3, DynamoDB Experience with Data pipeline tools like Airflow or DBT Data engineering/ETL experience Strong communication skills Proactive and strong sense of ownership and self-reliance.
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Proficiency in pipeline management tools (e. The Digital Health Data Scientist Intern will support the Digital Health Data Engineering and Solution team in developing and implementing digital health solutions.
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We are seeking a motivated and detail-oriented Data Pipeline Engineer to join our data engineering team. Optimize data pipeline performance and resource utilization, identifying bottlenecks and opportunities for improvement in data processing and streaming.
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Optimize data pipeline performance by leveraging Azure Databricks capabilities. Proven experience as a Solution Architect, specifically in data migration projects from oracle to Azure.
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Document data pipeline architecture, configurations, and dependencies, ensuring clear and comprehensive documentation for future reference and troubleshooting. Monitor data pipeline health and performance metrics, proactively identifying and addressing issues to minimize downtime and ensure data availability.
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Knowledge of Dbt, Airflow, Ansible, Argo, or other data pipeline systems; ideally experience building and maintaining a data warehouse. Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc.
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Experience in working on Event-driven cloud platform for cloud services and apps, Data integration for building and managing pipeline, Data warehouse running on serverless infrastructure, Workflow orchestration using Azure Cloud Data Engineering components Databricks, Synapse, etc.
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Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring. Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics and reporting requirements.
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1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline. Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery.
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pipeline job Title: data
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