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We are seeking a talented AWS DevOps/MLOps Architect to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
$58 an hourExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Demonstrated understanding and experience using software and tools including big data tools like Kafka, Spark; relational SQL databases including Big Query or equivalent; workflow management and pipeline tools such as Airflow, and object function/object-oriented scripting languages including Scala, C.
$136,032 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Utilize Databricks for big data processing, machine learning workflows, and data analytics. The ideal candidate will have deep expertise in building and deploying Python microservices using FastAPI, along with strong experience in Azure, SQL, Kafka, Databricks, and GCP (Google Cloud Platform) data engineering technologies.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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Client is seeking a talented AWS DevOps/MLOps Lead to develop platforms for big data and data science on AWS. As models, apps, and data pipelines are created and operationalized, the bigdata and data science team requires engineers with understanding of cloud native technology to develop, manage, automate, and facilitate the operational capabilities of the big data and data science team.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Big Data Technologies: Hadoop, Spark, Athena, materialized views. Data Visualization: Tableau, Looker, Power BI, Quicksight. Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem.
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Ability to navigate enterprise big data ecosystems and familiarity with platforms and tools like Snowflake, Azure, Redshift, S3, Databricks, and Kubernetes. We're on the lookout for skilled data & analytics professionals ready to make a big impact on our clients' businesses.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Micro Strategy and Tableau developer with hands on experience in Exadata/Netezza, big data, data analytics, Relational databases SQL/PL*SQL programming. Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Basic understanding of one or more of the following: SQL, Relational Databases, Python, UNIX, UNIX Shell Scripting (Bash), Cloud Data Engineering (AWS/GCP), Cloud Data Warehousing (Snowflake, Redshift), Control-M, ETL Tools (Datastage, Informatica, DBT), Big Data Technologies (Hadoop Stack.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Development experience with cloud-based modern data warehouses such as Google Big Query or equivalent. Ability to build and optimize data sets, ‘big data’ data pipelines and architectures.
$136,032 a yearFull-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands-on experience with AWS big data analytics, Redshift, Kinesis, Lambda, Glue catalog, Athena, Airflow, Databricks, Python, Kafka, Spark and PySpark. Experience understanding of relational, structured/unstructured and semi-structured data with designing data lake, data governance, data lineage and data quality.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of big data technologies (e.g., Microsoft Fabric, Azure Synapse, Lakehouse, Databricks). We are currently seeking a Python and PySpark Data Engineer - Remote to join our team in Frisco, Texas (US-TX), United States (US.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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DevOps Tools: Docker, Kubernetes, Jenkins, Terraform, Git, Big query, Firebase. Utilizes Apache Airflow for scheduling and monitoring data workflows to ensure timely data delivery.
$74 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of Cloud Data stack: AWS EMR, Apache Spark, Databricks, SNS, EC2/ECS, Airflow, ELK/Datadog, RDS/Postgres, AWS Redshift, GCP Big Query & Google Cloud Storage. Build scalable and highly secure data infrastructure and cloud engineering solutions required for big data processing across data lake & data science platforms.
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big data jobs Company: Accenture Contractor Jobs in Allen, TX
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