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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud.
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Diverse experience building scalable solutions using cloud services (AWS) such as: Airflow, Kinesis, Cloudwatch, Github action, Lambda, SQS, SNS, ECS, ECR, Containerization using Docker: that support processes such as: code deployments, data collection, streaming, data transformation, workflow automation, orchestration.
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Provide technical expertise in the areas of design and implementation of Data Lake solution powered by Databricks on AWS cloud. Strongly prefer experience building Data Lake & Data warehouse solutions using ETL,ELT pipelines on Databricks, Snowflake, Azure Data Lake etc.
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1+ years of experience building/implementing data pipelines using Databricks such as Unity Catalog, Databricks workflow, Databricks Live Table etc. As Data Engineer at JPMorgan Chase within Employee Experience Employee Core Data Platform(Palmos) Group, you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way.
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Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark. Position Summary As a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
$124,372.5 - $247,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must have Python, Java, Databricks, AWS/Google Cloud. Hands-on experience with Databricks and Snowflake for data engineering and analytics. Implement data pipelines and ETL processes using Databricks and Snowflake.
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Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like Azure Data Factory, Databricks and ETL tools. More than 8+ years of relevant experience in data engineering tools like Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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Proficiency with cloud platforms such as OCI, AWS, Google Cloud, and Azure. - Relevant certifications such as AWS Certified Solutions Architect, Certified Kubernetes Administrator (CKA), or Offensive Security Certified Professional (OSCP.
$116,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data implementation using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.
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Deploying and provisioning in an production environment AWS resources including IaaS: EC2, S3, RDS, EBS, ELB, IAM, Security Groups, Cloud Watch, VPC, Route53, Subnets, Routing Tables, Internet Gateways, certificates, autoscaling groups, PaaS services: EKS, ECR, ECS, Fargate, Code Deploy, Code Commit, and other SaaS services.
$150,600 - $225,800 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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O Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
$105,100 - $156,500 a yearFull-timeExpandApply NowActive JobUpdated Today
databricks big data engineer aws cloud jobs Title: data engineer in New York
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