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3+ years of Experience with Apache Spark, Kafka, Pig, Oozie, Flume, and Streaming and similar distributed computing technologies. Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, statistics, operations research, econometrics, and/or information retrieval (image processing (OpenCV) and natural language processing is a plus.
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Proficiency in using tools and software, such as Pandas, Caret, Power BI, Tableau, Python, R, MySQL, SPSS, Apache Hadoop, Salesforce and other analytics and CRM platforms. Proven experience as a Data Scientist, Data Engineer, Machine Learning Engineer, Data Principal, Customer Intelligence Analyst, CX Analytics Analyst, Quantitative Analyst, etc., with a strong portfolio demontstrating successful outcomes and the ability to influence corporate strategy through story-telling.
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Including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow. Proficient in big data technologies such as Hadoop ecosystem (HDFS, Hive, HBase), Apache Kafka, and Apache Flink.
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And frameworks such as TensorFlow, PyTorch, BigQuery, Apache Beam,Apache Spark, Kubeflow, Dataflow, Kubernetes, Kafka, Pub/Sub, and Flask. - Expertise in a database query language, preferably SQL. - Familiarity with Big Data technologies like Snowflake, Apache Beam/Spark/Flink, and Databricks.
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Develop Microservices Using Apache Kafka with Zookeeper for achieving synchronous and asynchronous messaging and implement a stream filtering system for real time file manipulations. Experience to include working on working on Java; J2EE; Spring Boot; Spring Cloud; Angular; SOAP; Kafka; Pivotal Cloud Foundry (PCF); Azure; Oracle Cloud; Docker; Kubernetes; Jenkins; Rabbit MQ; Junit; Mockito; AppDynamics; Splunk.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with traditional RDBMS like Oracle and NOSQL like Cassandra or MongoDB or Apache Ignite. Experience with tools/products such as: Ansible, Terraform, Cloud Foundry, OpenShift, Kubernetes, GKE/GCP, AWS (Preferred), Azure, Elastic Stack, Jenkins, Concourse, BOSH, or similar DevOps Computing tools or products.
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Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale. Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficiency in designing and optimizing data pipelines using ETL/ELT frameworks and tools (e.g., Informatica, Apache Spark, Airflow, AWS Glue). ETL/ELT tools like Informatica, Apache Spark.
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Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. Understands data governance principles, data privacy regulations (e.g., HIPAA, GDPR, CCPA), and best practices for ensuring data security and compliance.
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5+ years of experience with Hadoop (Cloudera) or Cloud Technologies Expert level building pipelines using Apache Beam or Spark Familiarity with core provider services from AWS, Azure or GCP, preferably having supported deployments on one or more of these platforms.
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Experience with Spectrum Conductor or Databricks with Apache Spark. Experience with Spectrum Conductor or Databricks with Apache Spark. Experience with the full Cloudera CDH/CDP distribution to install, configure and monitor all services in the Cloudera stack.
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Experience with big data technologies and platforms, such as Apache Hadoop, Apache Spark, Apache Kafka, and distributed data processing frameworks. Proficiency in data pipeline orchestration and automation tools like Apache NiFi, Apache Airflow, or cloud-based equivalents.
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Distributed Computing: Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale. Distributed Computing: Use frameworks like Apache Spark or Databricks to perform real-time and batch data processing at scale.
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Azure Databricks, Apache Spark, Scala. Azure Databricks, Apache Spark, Scala. Jenkins, Spring Boot, ArcGIS, Github, SSH, Browser Debug tools, S3 Object stores, AppDynamics, Prometheus, Grafana, NGINX.
$9,233 - $11,837 a monthFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Have good understanding of tools like Jenkins, helm charts, Kubernetes etc Qualifications Your Skills and Experience: Must have good implementation experience on various GCP’s Data Storage and Processing services such as Big Query, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL Must have programmatic experience with tools like Javascript, Python, Apache Spark.
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apache job in Irving, TX
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