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We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
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You must have a solid understanding of cloud data platforms and the data & analytics ecosystem, with hands-on experience across data engineering, data science and data visualization.
Full-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Cloud Consultant – Cloud Architect – GCP – Google Cloud – Azure – AWS – Amazon Web Services – Cloud Strategy – Azure Certified – Azure Architect – AWS Architect – AWS Consultant – Public Cloud – Containers – Containerization – DevOps - Automation - Application Architect.
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AWS Certifications are highly desirable - AWS Certified Cloud Practitioner | AWS Certified Solutions Architect – Expert / Associate etc. AWS Data Solution Architect – UK Wide - Hybrid.
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The Data Architect will be held accountable for the following responsibilities: Define and implement the long-term technology strategy and innovations roadmaps across analytics, data engineering, and data platformsCreate standards, design patterns, and best practices for ETL development in an enterprise data warehouse environment.
$115,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data. Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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. Our client is a leading proprietary trading firm that is seeking a Quantitative Software Engineer to join their Front Office Data Engineering team in London.
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You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Key Responsibilities: Lead the engineering team in designing, developing, and deploying solutions applying modern web frameworks, machine learning solutions, data engineering technologies, microservices, and cloud-native architecture.
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Modern Data Stack experience (Snowflake, Synpase, Databricks, Redshift, DBT, and/or Airflow) 10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science.
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Experience with organizational adoption of transformational initiatives – Platform Engineering, DevOps, DevSecOps, Cloud Transformation, Application Modernization Hands-on experience with IaC tools such as Terraform, Ansible, ARM, CloudFormation Experience with using and managing deployment services such as Harness, GitHub, Ansible, Jenkins, etc.
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Advanced Data Engineering Skills : Proficiency in designing and managing ETL processes using DBT, Python, Terraform and Airflow. Innovative Data Solutions: As a Data Engineering Manager, you will lead the charge in designing and implementing data architectures on Azure and Snowflake Platforms.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 5+ years in data engineering with detailed knowledge of data warehouse technical architectures , infrastructure components , ETL ELT.
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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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Experience in the definition of Big Data architecture with different tools and environments: Cloud (AWS, Azure and GCP), Cloudera, No-sql databases (Cassandra, Mongo DB), ELK, Kafka, Snowflake, etc.
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modern data engineering cloud architect jobs Company: Publicis Sapient
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