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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
$65,000 - $75,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Google Associate Cloud Engineer or Data Engineer certification is a plus." Strong background in cloud computing and data-Intensive applications and services, with a focus on Google Cloud Platform.
Full-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, Google Cloud Platform, Azure.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with high-speed distributed computing frameworks Apache Flink, AWS EMR, Hadoop, HDFS, MapReduce, Apache Spark, Kafka Streams. AWS Certified Solutions Architect – Associate Level is a plus.
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Proven experience as a Data Site Reliability Engineer or a similar role, with a strong focus on data infrastructure management. Experience with containerization and orchestration tools like Docker and Kubernetes is a plus.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Data: PostgreSQL, Firestore, BigQuery, Elastic Search, Prefect, Kafka, Scala, Spark, dbt. Collaborate with software and data engineers to help build a highly valuable software product.
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Knowledge of AI and Client tools is a plus. Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage). Experience with data governance(data plex), data security, and compliance best practices on GCP.
ExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Knowledge of AI and ML tools is a plus. Proficiency with Google Cloud Platform data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with large scale enterprise applications using big data open-source solutions such as Spark, Kafka, Elastic Search / Solr and Hadoop, HBase. Design near real-time data pipelines using Kafka streaming service.
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Cloud deployments - writing CI/CI pipelines, terraform a big plus (or platform-specific cloud IAC w/willingness to learn Terraform) Data Engineering - Databricks - ETL / ELT - PySpark, spark SQL. Experience with RDBMS platforms (One/Many of MSSQL, Oracle, Postgres, etc.
RemoteExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Design, build, and manage data pipelines for the ETL process, using Airflow for orchestration and Python for scripting, to transform raw data into a format suitable for our new Snowflake data model.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Experience working with big data platforms such as Hadoop ecosystem (Azure), including in-memory solutions (SAP HANA and Apache Spark) One Demand Data & Analytics (ODDA) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face – unlocking quality growth and operational excellence.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Pilot Kafka data replication between AWS and On-Prem Pilot PostgreSQL to run in AWS and On-Prem and the data replication between them Experience with continuous deployment tools, techniques, and automation frameworks – especially Terraform Enterprise and Ansible.
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Technical or programming skills to handle big data, online search, online advertising attribution and online/offline marketing optimization problems. Analyze big data sets to generate deep insights on paid media, organic media, market conditions, web navigations, and individuals’ propensities on multi-step conversion activities in the consumer journeys.
$95,105 - $156,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, Snowflake, Kafka. 0-3 years professional work experience as a data scientist or on advanced analytics / statistics projects.
Full-timeExpandApply NowActive JobUpdated 1 month ago
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