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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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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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Plano 1 (31061), United States of America, Plano, TexasSenior Data Engineer (Python, Kafka, Databricks, AWS) 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.
$188,500 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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5+ years of experience with Microsoft Big Data solutions with experience in SQL Server (2017 or higher), Azure SQL technologies (Azure Data Lake Gen2, Azure Databricks, Azure Databricks Unity Catalog, Databricks API, Databricks Row-level security, Databricks error logging, Azure SQL Server, and Azure Analysis Services), and a broad experience with related tools (CDC, Columnstore Index, In-memory Table, SSAS Tabular, DAX, T-SQL, SSIS.
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Senior Data Engineer (Python, Kafka, Databricks, AWS) 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Data Engineer.
$165,100 a yearExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Professional Data Engineer). - Cloud Platforms: Snowflake, AWS, GCP, Azure.
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AWS Certification in any of the following: AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified Big Data. We are looking for an experienced Data Visualization and Migration Specialist with a strong background in AWS QuickSight, AWS Redshift, and Amazon Q. The ideal candidate will have a proven track record of working with data visualization tools, as well as extensive experience in data migration activities, specifically moving data from on-premises data stores to Amazon Redshift.
$125,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS, GCP), languages/technologies (e.g., Python, Spark, SQL, DBT), Orchestration (ADF, Airflow, Dagster) and tools (e.g., Power BI), with an ability to build IP into reusable software.
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Deep knowledge of analytics technologies, modeling techniques, data warehousing concepts, cloud platforms (AWS preferred) and frameworks, and proven experience with data architecture.
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Maintain and improve the reporting infrastructure (Looker, Databricks and AWS Redshift) throughout the organization, maximizing the usability and adoption throughout the organization. Experience working with data SaaS and BI tooling (Fivetran, Looker, Databricks, etc.
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Develop and optimize ETL pipelines from various data sources using Databricks on cloud (AWS, Azure, etc.) · 10+ years experience in developing and implementing ETL pipelines from various data sources using Databricks on cloud.
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Ph. D. or Master’s degree in AI, Data Science, Computer Science, Electrical Engineering, Statistics, or a related field with a focus on big data or artificial intelligence. As the ML Engineer, you will be responsible for building GAI/LLM models end-to-end, from developing the data pipeline to model deployment, to solving real-world problems in the e-commerce sector.
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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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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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Azure Databricks Data Engineer Professional Certificate is required. Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services.
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databricks big data engineer aws cloud jobs Title: data engineer Company: Emerald in New York, NY
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