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Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery). 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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Architect and design Snowflake-based data warehouses, including schema design, table design, and data partitioning strategies. The Snowflake Architect will collaborate closely with data engineers, analysts, and business stakeholders to ensure data strategies align with the business goals.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.
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AWS Data Solution Architect – UK Wide - Hybrid. Knowledge of other Cloud Platforms and SaaS offerings such as Azure, GCP, Snowflake & Databricks. Relevant industry-recognised certifications, such as TOGAF, AWS Solution Architect etc.
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Architect & Build Scalable Data Platforms: Lead the design and development of a scalable data platform on AWS and Snowflake, including star schema modeling for NLP and Machine Learning (ML) model deployment.
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Job Title: ETL Ab Initio Data Validation Engineer (SDET) Primary skills: Ab Initio, Pyspark, Hive Iceberg on Azure Datalake (ADLS) or Iceberg on Snowflake Database and OS: Oracle, DB2, SQL, Data Warehousing, Linux About the job We are seeking a highly skilled ETL Ab Initio Validation Engineer with expertise in Ab Initio and Snowflake or Azure Datalake to join our dynamic team within our organization.
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Collaborate well with necessary stakeholders to ensure thorough understanding of the business requirements, both functional and non-functional, and architect solutions that will effectively and efficiently solve for the needs, spanning a multitude of use cases across Data Warehousing, APIs, Reporting / Analytics, Data Science / Machine Learning.
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Utilize cloud platforms (primarily AWS) to deploy data solutions that leverage native services such as S3, Lambda, Redshift, Glue, Airflow, or equivalent third party SAAS services like Snowflake etc for data lake/data warehousing patterns.
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Design principles) and Data Warehousing (such as Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration. AWS Solutions Architect, AWS Developer, or AWS Certified Big Data – Specialty (Data Analytics Speciality.
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Innovative Data Solutions: As a Data Engineering Manager, you will lead the charge in designing and implementing data architectures on Azure and Snowflake Platforms. Cloud Infrastructure and Data Integration : Lead the implementation of data solutions on cloud platforms such as Azure, AWS, and Snowflake, integrating diverse data sources into unified systems.
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This role will give you hands-on experience with SSRS and Qlik, creating and updating reports, while providing the chance to explore Azure and Snowflake data warehousing tools. You will develop reports, dashboards, and ad-hoc data files using tools like Qlik Sense and SSRS, while supporting senior BI Developers with large service requests and projects.
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Principal Data Modeler - RDBMS/DATA WAREHOUSING/OLAP/SNOWFLAKE/CLOUD. Possess knowledge and understanding of specific Databases and languages: RDMBS (Oracle, PostgreSQL, Snowflake), Python, AWS (Glue, Lambda, SNS, SQS), Data orchestration technologies - ETL/ELT (Control-M, Snaplogic.
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Proven experience as a Snowflake Solution Architect with a focus on Athena health data for healthcare data solutions. Proven experience as a Snowflake Solution Architect with a focus on healthcare data solutions.
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Proven work experience as a Data Solution Architect or similar role in building data architecture, Data models, Pipeline using AWS services (S3, Lambda, Glue, Athena, QuickSight, etc.
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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. 4+ years of data warehousing experience (Redshift or Snowflake.
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snowflake warehousing data architect jobs Company: Careerbuilder
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