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Extensive hands-on experience with AWS ecosystem data services, including tools like DBT, Airbyte, Airflow, and AWS Glue, for data modeling, pipeline development, performance optimization, and ensuring data provenance.
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Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Data warehousing tooling and services (Apache Airflow, AWS DMS, Snowflake); Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers.
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Snowflake, Spark, Trino, Airflow, and dbt. Snowflake, Spark, Trino, Airflow, and dbt. Experience with Big Data technologies (Snowflake, Databricks/Spark, Trino). Experience with Infrastructure as Code (IaC) tooling such as Terraform.
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Build, maintain, improve, scale, and secure cloud infrastructure and resources using IaC tools (Terraform, CloudFormation, Ansible); Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
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Demonstrated experience with model pipeline technologies like Astronomer / Airflow, MLFlow, etc. Demonstrated experience with model pipeline technologies like Astronomer / Airflow, MLFlow, etc.
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc. Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, Tidal/Airflow, etc.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4+ years of experience in DevOps and leveraging CI/CD services: Puppet, Ansible, Chef, Airflow, Terraform, Jenkins etc. 3+ years of experience with deployment and optimization: Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow etc.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Deployment: Airflow, Docker, EC2, Kubernetes, AWS. Dog-friendly office (CAM office) Deployment: Airflow, Docker, EC2, Kubernetes, AWS. Have published in a top-tier ML/NLP conference (e.g., ACL, NAACL, EMNLP, NeurIPS, ICML.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of experience with ETL orchestration and workflow management tools (like Databricks, Airflow, Flink, Oozie, Azkaban) using AWS/GCP. 3+ years of experience with ETL orchestration and workflow management tools (like Databricks, Airflow, Flink, Oozie, Azkaban) using AWS/GCP.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Demonstrated experience with pipeline technologies like Astronomer / Airflow, MLFlow, etc. Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies.
$210,120 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Certification in Apache Airflow / Informatica IICS / AWS Developer is a plus. Hands-on experience with Apache Airflow and Informatica IICS. Maintain scalable data pipelines using Apache Airflow and IICS to ensure efficient data processing and integration.
ExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Job Schedulers - Airflow, Oozie or other ETL Scheduler. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper.
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Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker. Familiarity with AWS, GCP, Databricks, Github, Airflow and Looker. Identify and analyze new fraud detection features using SQL, Databricks, and Python.
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