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We are looking for someone who is passionate about data engineering, with a strong background in GCP services such as BigQuery, Dataflow, and Pub/Sub. This role offers the chance to work with a talented team, learning and growing together while maintaining a healthy work-life balance.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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2+ years of Apache Spark and/or Azure Databricks , Azure Data Factory. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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7+ years of hands-on experience designing and implementing data engineering solutions using Azure cloud offerings including Data Factory, Azure Synapse, ADLS, and Azure Functions and Logic Apps.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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1+ years of Apache Spark and/or Azure Databricks, Azure Data Factory. " Develops scalable and re-usable frameworks for data set ingestion, including event based / stream processing using Azure Data Factory.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Implements best practices for end-to-end data pipelines (source systems to target data repositories) ensuring the quality and consistency of data is always maintained. Implements and debugs Infrastructure as Code, including associated storage and network resources, using technologies such as Terraform, Azure DevOps, and/or GitHub Actions.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Engage and influence Software Reliability Engineering (SRE) practices with software engineers, operations, and product management teams to align the delivery of technical solutions. + Spark , Hadoop, Kafka, Hiv e, and AWS EMR are required.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Minimum 6 years of experience in creating robust enterprise-grade data engineering pipelines using SQL, Python, Apache Spark, ETL, ELT, Databricks Technology Stack, Azure Cloud Services, Cloud-based Data and Analytics platforms required.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience in distributed data (structured, semi-structured, unstructured, streaming) processing techniques using Apache Spark, Hadoop, Hive, Kafka, and big data ecosystem technologies preferred.
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We are accomplishing this vision by bringing to bear Big Data technologies like Elastic Map Reduce (EMR) and Spark in addition to data warehouse technologies like Redshift to build a data platform capable of scaling with the ever-increasing volume of data produced by AWS services.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Knowledge of the Financial reporting ecosystem will be a plus.5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be an add-on Expert on Distributed ecosystems Hands-on experience with programming using Core Java or Python/Scala.
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Working knowledge of the Data Science development workflow including data manipulation and cleaning, feature engineering, model selection, model training, model validation, model deployment.
Full-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Designs, develops, maintains, and supports the cloud-based (Microsoft Azure) big data platform and uses modern data engineering design patterns and tools across the MSFT Data Platform.
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Must have 5-8 years of Data Engineering experience in a Big Data environment. Must have strong hands-on experience on data processing tasks using Spark/Python for cleansing and curating to populate analytical models.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Develop scalable and re-usable frameworks for data set ingestion, including event based / stream processing using Azure Data Factory. Implement best practices for end-to-end data pipelines (source systems to target data repositories) ensuring the quality and consistency of data is always maintained.
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1+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Snowflake, Spark, Hadoop Strong teamwork and communication skill Ability to write production-level code in Python Experience with Snowflake, Azure Databricks is a strong plus What is it like at Albertsons.
$109,700 - $142,580Full-timeExpandApply NowActive JobUpdated 7 days ago
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