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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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Lead the aggregation and analysis of customer and 3rd party data (e.g., PayNet, D&B, consumer credit bureaus) for monitoring credit risk strategies and developing business intelligence. Strong quantitative and analytical skills in statistical analysis and data science best practices.
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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.
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Job Description Posting Title: Professor - Data Science - Tenured Department: Proteomics Salary: Open Posting Summary: Rutgers, The State University of New Jersey (New Brunswick, NJ, USA) invites applications for a distinguished data scientist, focused on three-dimensional (3D) structures of biological macromolecules, to be appointed at the level of tenured Professor or above.
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3+ years in a data analyst, business analyst, or statistical analysis role. Requirements Role Overview: We are looking for a skilled Data Analyst to join our team of data analytics professionals.
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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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Our tech stack:AWS, Snowflake, Hadoop, DataBricks, Spark, R, Python, SQLIn this roleYou will design and implement scalable, reliable distributed data processing frameworks and analytical infrastructure using multiple technologies, including data sets or data warehouses, data virtualization and services, and repositories of semi-structured data sets.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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3+ years’ experience in data administration, from setting up the Databricks environment to successfully administering it. Proven ability to meet established service levels, availability, performance, data privacy, and security guidelines is necessary.
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Need experience building ETL pipelines from NoSQL databases, MongoDB acceptable, but if they have used a less mature NoSQL such as Google Filebase that would be preferredExperience in Vector DB preferredNeed strong data warehousing and modeling fundamentalsAdvanced SQL skillsNeed experience with at least 1 BI tool: Tableau, Looker, etc.
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Experience in developing Data Warehouse/Data Marts using, as examples, OBIEE, OBI APPS, Cognos, Business Objects, SPSS, SSIS, SSRS, Informatica Power Center, OWB and ODI. · Experience on design and development of Data Warehouse Architecture for Enterprise Data Warehouse (EDW), Operational data Store (ODS), Operational Data Marts and Data Marts.
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Ecotricity, the UK’s first true green energy provider, has a strong internal team supporting and developing solutions across multiple mission critical platforms including Databricks on AWS, SQL, Power BI and other cloud centric data solutions.
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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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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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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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Title: data analyst Company: Navtechusa
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