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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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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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Our core expertise lies in six key areas: Cloud Engineering, Application Engineering, Data Engineering, Core Engineering, Quality Engineering, and Domain expertise.
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Hands-on experience and specialization in various data and analytics disciplines including some of the following (data engineering, ETL/ELT, ML/AI, streaming, API integration and development, data/dev ops, data science, data virtualization.
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You will work in a specialist data platform team in order to implement brand new Azure capabilities. Technologies like Azure Data Factory (ADF), Databricks, Delta Tables & Synapse will be used as the team oversees Eclipse data transformation & ongoing future development.
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Knowledge of the following technical landscape : Online Video Streaming, Video Encoding/Decoding, Data Engineering, Data Analytics and Statistics OTT Client Application Development, User Account Management, Payment/Billing/Entitlement technologies Technology standard (ISO, FCC, MPA, W3C, SCTE, Security/Privacy Standards.
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Proven experience in data engineering, with a strong focus on GCP, BigQuery, ETL, and Apache Airflow. You will have the unique opportunity to build and lead the scope of their Google Cloud Platform (GCP) data warehouse and data solutions team.
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12+ years as a software engineer, with a focus on a combination of frontend, backend, and data engineering. Experience with ETL technologies and data engineering with a focus on building and maintaining data platforms and pipelines.
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Extensive experience in data engineering with a strong focus on Snowflake and Databricks. Stay up to date with emerging technologies and best practices in data engineering, particularly in Snowflake, Databricks, and AI/ML.
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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. Be a key player in the newly established and fast-growing Data Engineering team, driving the future of data innovation across the company.
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5+ years of experience in Database Engineering primarily in AWS Redshift, RDS/Aurora, DynamoDB, DMS, Glue. Proven experience in building data pipelines and database applications Strong coding and scripting experience with Python, PowerShell or similar languages.
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The company is, at its heart, data driven, using data tools such as Python, Snowflake, and accompanying data science stack. Work in tandem with business leaders to collaborate and align engineering efforts with business goals.
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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success - enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes. Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Bachelor's Degree from ABET (Accreditation Board for Engineering and Technology) in Engineering, Physics, Materials Science, or (STEM) Science, Technology, Engineering, or Mathematics.
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data engineering jobs Title: platform architect Company: Dice in Bentonville, Kansas
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