| Fintech clients 12 plus Data Engineer TX NJ MO MI CA Contract at Dallas, Texas, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3129634&uid=ffeb5bd61cee45ef99dc09010a764991 From: Harshit, Tanisha systems inc [email protected] Reply to: [email protected] Fintech clients will be a plus Title - Data Engineer Location - Dallas TX Job type - Contract Data Engineering team is to support Data Engineering and reporting for Client financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across client for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data. Role: A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modelling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines. What youll do: Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain dataintegrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What youll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 8+ years of experience in data engineering and analytics technical strategy. Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Strong in Python and/or another data centric language. Thorough knowledge of data modelling, database design, data architecture principles, and data operations. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the Fintech industry is advantageous. Title - Data Engineer Location - Dallas TX Job type - Contract Data Engineering team is to support Data Engineering and reporting for Client financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across client for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data. Role: A talented, enthusiastic, detail-oriented, and experienced Data Engineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modelling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines. What youll do: Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically. Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders. Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically, Enforce data governance policies and practices to maintain dataintegrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls. What youll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field; 8+ years of experience in data engineering and analytics technical strategy. Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others.. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP Strong in Python and/or another data centric language. Thorough knowledge of data modelling, database design, data architecture principles, and data operations. Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans. Experience in the Fintech industry is advantageous. Keywords: Texas Fintech clients 12 plus Data Engineer TX NJ MO MI CA Contract [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=3129634&uid=ffeb5bd61cee45ef99dc09010a764991 |
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| 07:21 AM 12-Feb-26 |