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Design efficient data synchronization processes between on-premises Oracle databases and Snowflake using Kafka and CDC extraction tools. Data Integration: Experience with Kafka and CDC tools for real-time data synchronization.
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Experience with Azure Synapse, Databricks, ADLS Gen 2, Google Analytics, Firebase, Big Query, Event Hubs, Kafka, Salesforce, SAP, and CDP platforms. Data Evangelist: Promote data product adoption through training and webinars.
$140,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert knowledge in big data technologies such as SQL, Python, PySpark / Spark, Hive, Presto, Kafka. This role offers an excellent opportunity to use your big data expertise to drive data-driven innovation for the world's #1 CRM provider, working closely with our Data Science team to unlock transformative value for our vast global customer base through AI/ML-driven marketing initiatives.
$265,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.
$267,800Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong understanding of streaming (e.g. Kafka, Kinesis) and batch (e.g. Airflow, AWS Glue) data transport technologies. Be a Subject Matter Expert (SME) for the data platform engineering (ingestion through insights), data strategy, data modeling initiatives across the department’s big data projects.
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Experience using Big Data frameworks and platforms (e.g., Hadoop, Spark, Databricks), databases (e.g., RedShift, Snowflake) for complex data assembly and transformation. Strong knowledge of various data formats such as Parquet, JSON, CSV, Avro.
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Architect and deploy advanced batch and streaming data pipelines using Kubernetes/EKS, Kafka/MSK, and Databricks/Spark within a dynamic hybrid cloud environment. Hands-on experience with data platforms and technologies like Delta Lake, Spark, Kubernetes, Kafka, ClickHouse, and/or Presto/Trino.
$350,000 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Experience in coding to read message from different messaging queues like JMS, Tibco, MQ, Kafka and others. Skills: Programming, Testing, Analytical Thinking, Agile Development, Problem Solving, Cybersecurity Risk Management, Data Privacy, Application Security, Technical Troubleshooting.
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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau;Possessing a certification(s) in one of the following is a big plus – GCP/AWS/Azure/ data or ML engineering.
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BS degree in Computer Science, similar technical field, or equivalent experience 1+ years of experience in building large scale, data-centric solutions 3+ years of experience (recent) participating on a DevOps team or as product owner for DevOps team.
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Familiarity with Big Data is preferred. Propose new database architecture and support data migration from an existing Legacy system to a new structureCreate source-to-target mapping documents to transform the source data into the target warehouse and test final transformations.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). Experience with leading cloud and data platforms such as AWS, Databricks, Azure, Sagemaker, etc.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You have experience with SQL and data visualization tools (Tableau, Qlik, Power BI, Looker, Domo, etc.) As a Business Intelligence Manager, you will own the delivery of actionable insights to inform data-driven decisions on sales & marketing strategy, and increase efficiency of our go-to-market operations.
$137,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with data streaming technologies like Kafka and Debezium. Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated Today
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