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Minimum 3 years’ experience working with Cloud technologies such as Synapse pipelines, Azure Data Factory (ADF), ADLS, Azure Databricks, Spark, Azure Synapse, and other modern data ETL/ELT technologies.
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4+ Experience with technologies Apache Mesos, Marathon, or Apache Spark. Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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4+ Experience with Kubernetes, Dask or Apache Spark. 4+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Extensive experience with Apache Spark and Databricks (or similar data processing frameworks). Design, develop, and implement efficient and scalable data pipelines using Apache Spark on Databricks.
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Experience with Apache Spark for large-scale data processing and analytics. Proven experience as a Data Engineer with a strong emphasis on data virtualization, SQL programming, DevOps practices, Python, and Databricks.
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Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.) Experienced in using Big Data stack (Hadoop, Hive, Spark, Kafka, Airflow/OOZIE, BigQuery/Presto/Impala, etc.
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Design, develop, and deploy Spark program in Databricks environment to process and analyse large volumes of data. A multinational organization with 51 offices in 20 countries and the possibility to work abroad.
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Ability to quickly learn and become familiar with our tech stack, such as Spark, Kubernetes, ScyllaDB, Clickhouse, Airflow/Flyte, Terraform, Tableau, etc. Ability to quickly learn and become familiar with our tech stack, such as Spark, Kubernetes, ScyllaDB, Clickhouse, Airflow/Flyte, Terraform, Tableau, etc.
$190,000 - $300,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical proficiency with Spark, Trino, Python, PySpark and SQLProven ability in Gitlab with CI/CD.Proven ability in AWS Services like S3, RDS, Lambda, SQS, SNS, MSK is required. Integrating Databricks with other AWS products such as SNS, SQS, and MSK.What we are looking for: Bachelor's or master's degree in computer science, Information Technology, or a related field.
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Some exposure to Big Data technologies, Apache Spark, AWS, AWS S3, amazon Glue, cloud -based data architecture is preferred. Experience with any of the Data Governance tool – such as Collibra, Alation, Informatica Axon DG, or Apache Atlas.
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Familiarity with Big Data technologies (BigQuery, Hadoop, Spark, Cassandra etc.) Develop, maintain and manage advanced reporting, analytics, dashboards and other BI solutions primarily in, but not limited to Oracle, Power BI, nice to have Tableau, Looker, MicroStrategy etc.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar.
$101,231 - $172,355 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O Django stack: JavaScript - Python - Django - MySQL. o MEAN stack: JavaScript - MongoDB - Express - AngularJS - Node.js. Schedule: Hybrid (4 day office, 1 day WFH) At this stage, this role is pivotal as we are taking this solution to the next level and positioning it as the core product for everything marketing - audience segmentation, statistical testing, data governance, data distribution, revenue optimization, and much more.
$70 - $72 an hourExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Experience with Big Data technologies like Snowflake, Databricks, Spark is preferred. Experience with Big Data technologies like Snowflake, Databricks, Spark is preferred. Required Skills Include: Core Java, J2EE, Spring Boot, Python, REST services, Swagger, Apache Camel, Spring Batch, Kafka/MQ, MongoDB.
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Spark, Scala, and Databricks. Experience in data product development at enterprise scale, including on cloud platforms, Spark or other big data ML systems, and comfort using Jira, Slack, Teams, and other collaboration tools.
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spark job in Hoboken, NJ
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