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Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. For Senior Data Engineer (III.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong expertise in cloud platforms such as AWS, GCP, or Azure for data sourcing, supporting model development, and assisting with operationalization. Expert knowledge in big data technologies such as SQL, Python, PySpark / Spark, Hive, Presto, Kafka.
$176,800 - $265,200 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Design, implement, and maintain data infrastructure using technologies such as Spark, Airflow, dbt, and Google Cloud Platform (GCP) services like Cloud Composer, Pub/Sub, and BigQuery and/or comparable AWS services.
$300,000 - $485,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers; As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle’s infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
$147,500 - $227,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Compute Fabric : Build the resource management infrastructure powering all the big data and machine learning workloads on the Databricks platform in a robust, flexible, secure, and cloud-agnostic way.
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The Data Platforms Team, a segment under the Disney Entertainment & ESPN Technology (DEET) organization is looking for a Sr. Software Engineer to join our Big Data Applications team.
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A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP.
$144,000 - $247,500 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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1) Developing huge scale Data ingestion, Aggregation and Machine learning platform using ETL Design, Big Data, Spark, DataBricks, AWS, SnowFlake, and Data Lake; (3) Developing and maintaining Cloud Data Warehousing, Data lake using AWS S3, Snowflake, Blob Storage, and data security patterns.
$188,651.25 - $198,700 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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3+ years’ experience working with Cloud technologies such as ADLS, Azure Databricks, Spark, Azure Synapse, Cosmos DB, and other big data technologies. Designs, develops, and implements ETL/ELT/CDC processes using Informatica Intelligent Cloud Services (IICS), Azure Data Factory, AWS Glue, dbt, and other ETL products.
$105,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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This includes data ingestion, data transformation, data validation/quality, data pipeline optimization, orchestration; and deploying code to production via CI/CD. The Data Engineer role requires knowledge of software development/programming methodologies, various data sources (Relational Databases, flat files (csv, delimited), APIs, XML, JSON, etc.
$105,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Solid understanding of cloud platforms (e.g., AWS, GCP, Azure) and experience with relevant services for data storage, processing, and analytics. Experience as a Lead and mentor of a team of data engineers to design, develop and maintain robust data movement pipelines using a variety of technologies including (but not limited to) che Airbyte, Airflow, Kafka, Flink, CDC technologies like Debezium, Oracle Golden Gate as well as relevant Big Data technologies like Hudi, Presto, Trino, and Azure Data Lake Services.
Full-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience working with cloud-oriented data warehouse, data platform, and data lake technologies (e.g. Snowflake, Redshift), including data pipeline development and data engineering.
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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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cloud engineer gcp big data jobs Company: Diverse Lynx in Bellevue, WA
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