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Experience with building data pipelines in getting the data required to build, deploy and evaluate ML models, using tools like Apache Spark, AWS Glue or other distributed data processing frameworks.
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Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration. Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi.
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Automates all infrastructure build out in AWS utilizing Ansible, Packer, and Terraform Distributed Systems, Client, Kubernetes (k8s), Sarm, Mesosphere, Docker, Services Discovery, Container Orchestration, DFW, Apache, SPark, Hadoop, CLI, API, DevOps, Consul, vault, and microservice.
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Proficiency in SQL, Python, R, Apache Spark or similar product or language is a plus. Knowledge of public clouds (AWS, Azure, GCP) with familiarity in data warehousing solutions like Snowflake and Databricks.
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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
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Experience with building data pipelines for ML models using tools like Apache Spark, AWS Glue, or other distributed data processing frameworks. Experience with building data pipelines for ML models using tools like Apache Spark, AWS Glue, or other distributed data processing frameworks.
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The ideal candidate will have a robust understanding of big data processing, experience with Apache Spark, and a proven track record in Python programming. Strong experience with Apache Spark and its components (Spark SQL, Streaming, MLlib, GraphX) using PySpark.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop. We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems.
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Job Title: Bigdata Consultant (Apache Spark + Scala + Java) Participate in vendor landscape and technology assessments (covering for example Hadoop, Spark, Kafka, TensorFlow) Experience with Spark.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc.
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Design and develop production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment. Designing and developing production ready software using web, cloud and distributed technologies including Apache Spark, Hadoop, Microservices, and CI/CD cloud deployment.
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Design and develop solution architectures to scale backend systems using Python, Mulesoft, Java, Spring Boot and rest specifications. Designing and developing solution architectures to scale backend systems using Python, MuleSoft, Java, Spring Boot and rest specifications.
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Expertise in building and managing ETL/ELT pipelines in Databricks, with deep knowledge of Apache Spark and its underlying architecture. Design and implement security and governance measures to ensure data privacy, compliance, and protection across the Databricks and Azure ecosystem.
ExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Distributed Systems, Client, Kubernetes (k8s), Sarm, Mesosphere, Docker, Services Discovery, Container Orchestration, DFW, Apache, Spark, Hadoop, CLI, API, DevOps, Consul, vault, and microservice.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Certification Databricks certified associate developer for apache spark 30 Scala. Certification Databricks certified associate developer for apache spark 30 Scala. Proven work experience as a Data Architect Data Scientist Data Analyst or similar role.
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