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Publicis Sapient is looking for a Manager/ Architect Data Engineering- AWS Cloud to join our team of bright thinkers and doers. Hands-on experience with at least one of the leading public cloud data platform- AWS (Amazon Web Services.
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More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
RemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and services like AWS Glue, Azure Data Factory, or Google Dataflow. Expertise in data storage technologies such as relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), data warehouses (e.g., Snowflake, Redshift), and data lakes (e.g., Amazon S3, Azure Data Lake Storage.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Deep understanding of cloud platforms (AWS, Google Cloud, Azure) and big data technologies (Apache Spark, Kafka). Architect, build, and maintain scalable multi-tiered systems to handle complex data workflows and integration pipelines.
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Experience with cloud services like AWS or Azure, and data processing technologies like Spark and Kinesis. Experience with ELK stack, BigQuery, and other data analytics and log management tools.
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Cloud based tools/solutions including AWS, S3, Databricks, Snowflake, SQL, Python. You will leverage your ability to design, build and deploy data solutions using cloud based compute and warehouse tools that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Solves problems with containers, cloud infrastructure and infrastructure as code (we use Docker, AWS and Terraform) By engineering better data from hundreds of public and third-party sources, we aim to tell the complete story of every business, so that companies of every size can access the financial services they need to grow and thrive.
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Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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Deployment: Handle the deployment of applications on platforms like Azure and AWS with the help of Docker. Data Integration: Integrate frontend applications with backend services using REST and gRPC.
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Proven experience with cloud platforms (e.g., Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and database management systems (e.g., MySQL, PostgreSQL, SQL Server, MongoDB.
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Our nimble Data Science team is looking for a Product Manager with Big Data and AWS experience to drive product creation and innovation. They are responsible for the product/feature roadmap and backlog and driving performance against KPIs, including in the areas of AWS deployment and Big Data. They provide clear guidance to product management and development teams on customer needs and expected outcomes.
Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Keywords: Javascript, typescript, node, react, angular, vue, AWS, developer, software engineer, web, London, UK. Should have good understanding of data modelling, data warehousing and good storage practice.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
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Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
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