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Expert knowledge and experience in Databricks, Lake House, Structured Streaming, Kafka, Delta Lake, Delta Live table, Delta shareetc. Explore and build proof of concepts using open source NOSQL technologies such as HBase, DynamoDB, Cassandra and Distributed Stream Processing frameworks like Apache Spark, Kafka stream.
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Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
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Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or Oozie. Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies. We are looking for a Machine Learning Engineer, who has hands-on experience in machine learning system development, Cloud computing, backend development and AI/ML.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or OozieExtract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow or OozieExtract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies.
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We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Strength in the majority of commonly used data technologies and languages such as Python, Java, Go or Scala, Kafka, Spark, Flink, Airflow, Splunk, Datadog, Jenkins, or similar. This role is based out of our Austin, Texas office, reports into the VP Technology of DTS Business Systems and offers flexibility to work remotely as schedule permits.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Build robust data pipelines on the public Cloud using Airflow, AWS EMR, Glue, Kinesis, Kafka, Lambda or other technologies. Hands-on experience with the creation and automation of Data pipelines and Machine learning pipelines, model training, testing, and deployment using Airflow, EMR, Glue, etc.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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9101700 Data Engineer with Python, Kube, Big Data, AlgoCD and AirFlow GBAMS Austin/ Sunnyvale. Experience in using IT automation tools such as AlgoCD, and job orchestrator systems such as AirFlow, Jenkins.
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Experience with workflow scheduling / orchestration such as Kubernetes, Airflow. Experience using Spark, Kafka, Hadoop, or similar technologies. Airflow DAGs with Flink. Experience with workflow scheduling / orchestration such as Kubernetes, Airflow.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with distributed systems, Snowflake, Python, Airflow, Kafka, MongoDB, Redis, Datadog, Kubernetes, React, Ruby, Ruby on Rails. Proficiency in Python and experience with related technologies (Kafka, Airflow, etc.
$191,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Procore’s Business Systems Technology group is looking for a Principal Software Engineer to elevate our business systems technologylandscape, enhance scalability,drive operational excellence, andenable efficient growth for the business.
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Expertise with diverse DB technologies like RDMS PostgreSQL, Graph, NoSQL (document, columnar, key-value), Snowflake. Eligible for Equity Compensation. Deep understanding of micro-services architecture and containerization technologies (e.g., Docker, Kubernetes, Mesos.
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Architect and implement data solutions using modern data technologies such as Kafka, Spark, Hive, Hudi, Presto, Airflow, and cloud-based services like AWS Lakeformation, Glue and Athena.
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Experience with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Airflow, Presto, Druid, Opensearch, HA Proxy, or Hive. Experience with at least 3 of the technologies/tools mentioned here: Big Data / Hadoop, Kafka, Spark, Airflow, Presto, Druid, Opensearch, HA Proxy, or Hive.
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Data visualization or web development skills a plus. Experience with computer vision or natural language processing a plus. Database development experience with Relational or MPP/distributed systems such as Oracle/Teradata/Vertica/Hive a plus.
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airflow kafka jobs in Austin, TX
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