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Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake. Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Gserver config (Ansible), real-time messaging (RabbitMQ), task management (Airflow), micro services (Docker), system auditing, deploy automation (Jenkins), log management, database management (MongoDB, SQL), Python scripting, data analysis (Pandas, Scikit-Learn), etcWe strongly prefer hires with knowledge of Centos (Linux Distro) for remote servers, terminal/bash, crontab, system, SSH and SCP, Python 3.0, NumPy, TensorFlow, Click, IQfeed, CQG, IB, TradeStation, and especially Rithmic (API.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Python, Apache Airflow, Apache Spark, PostgreSQL, Presto SQL, Snowflake SQL, Confluence, JIRA. Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
Part-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience tools like R, git, mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus. Experience tools like R, git, mlFlow, Airflow, Cron, Docker and Cloud Platforms such as AWS/GCP is a plus.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Strong experience with modern data engineering technologies such as python, Spark, Kafka, Airflow. Experience with Devops and CI/CD technologies is a plus (such as GitHub Actions, Docker.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Our platform is ever evolving, but currently is a combination of SQL, Kafka, Flume, Spark, Scala, Java, Python, NoSQL (HBase, Cassandra and ScyllaDB), MPP RDBMS, Postgres, Hadoop, AWS, AirFlow, Docker, Kubernetes, and Elastic.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You are a driven data engineer with experience working with big data technologies such as Docker, ECS, S3, Redshift, Kafka, and RDS. You're an Apache Airflow practitioner with experience managing cross-DAG dependencies in Airflow.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi. Experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Design, create, and maintain data pipelines using Apache Airflow, Apache Spark, Docker, and Python. We use Apache Airflow, Python, and Apache Spark for ETL. For streaming data, we use Apache Kafka managed by a vendor and use Kafka Connect, Kafka Streams, and Spark Streaming for stream processing.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience in batch and streaming ETL using Spark, Python, Scala, Snowflake or Databricks for Data Engineering or Machine Learning workloads. As the technical lead and architect, your primary responsibility will be to design and implement highly efficient, reusable, and scalable data processing systems and pipelines in Databricks and Snowflake.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience with Kubernetes and building Docker images. Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
$130,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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5+ years orchestrating and implementing pipelines with workflow tools like Databricks Workflows, Apache Airflow, or Luigi. 3+ years of experience with containerization and orchestration technologies (Docker, Kubernetes) and experience with shell scripting in Bash, Unix or windows shell is preferable.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Thanks to the work of every employee, Epsilon has been consistently recognized as industry-leading by Forrester, Adweek and the MRC. Positioned at the core of Publicis Groupe, Epsilon is a global company with more than 8,000 employees around the world.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker. The ideal candidate should be well-versed in technologies including Kubernetes, Azure, Spark, Airflow, Jenkins, and Docker.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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We are looking for a senior data solutions engineer with extensive experience in the big data and data warehouse ecosystems. 35 West Wacker Drive, Chicago, IL, 60601, USA. Epsilon’s policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information, or any other characteristic protected by applicable federal, state or local law.
ExpandApply NowActive JobUpdated 11 days ago
airflow docker jobs in Chicago, IL
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