| Face 2 Face Interview :: Data Engineer in Princeton, NJ at Princeton, New Jersey, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1987760&uid= Hello, Hope you doing well!!! My name is Tushar and I am a Sr. Technical Recruiter at USG. I am reaching out to you on an exciting job opportunity with one of our clients. Job Title: Data Engineer Location: Princeton, NJ Interview: F2F Interview Need Local Consultants with local photo ID Description: We are seeking an experienced Data Engineer with over 5 years of expertise in designing, building, and optimizing data pipelines and architectures. The ideal candidate will be skilled in using Azure Data Factory, Databricks, SQL databases, and data modeling to support scalable and efficient data solutions. This role is integral to enabling data-driven decision-making across the organization. Key Responsibilities Data Pipeline Development: Design, build, and maintain scalable data pipelines using Azure Data Factory and Databricks. Data Integration: Integrate data from multiple sources into a centralized repository while ensuring data accuracy and reliability. Data Modeling: Create and optimize data models (conceptual, logical, and physical) to meet reporting and analytics needs. Database Management: Develop and maintain SQL databases, including writing complex queries, stored procedures, and performance tuning. Collaboration: Partner with data analysts, business stakeholders to understand requirements and deliver high-quality data solutions. Data Quality: Implement data validation, monitoring, and error-handling mechanisms to ensure data integrity. Optimization: Continuously optimize data architectures and pipelines for performance, cost-efficiency, and scalability. Documentation: Maintain comprehensive documentation for data pipelines, models, and systems. Qualifications Required Skills & Experience 5+ years of experience as a Data Engineer or in a related role. Expertise in Azure Data Factory and Databricks for ETL processes and data transformation. Strong proficiency in SQL and experience with managing and optimizing SQL databases. Hands-on experience with data modeling for analytics and reporting. Solid understanding of distributed systems and data architecture principles. Proven ability to manage and deliver data engineering projects independently and collaboratively. Preferred Skills Experience with other Azure services like Azure Synapse Analytics, Azure Data Lake, or Azure Functions. Knowledge of Python or Scala for data engineering tasks. Familiarity with CI/CD pipelines for data workflows. Understanding of cloud cost management and optimization. Key Competencies Problem-solving mindset with attention to detail. Excellent communication and collaboration skills. Proactive, with a strong sense of ownership and accountability. Ability to thrive in a fast-paced and dynamic environment. Education Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. (Masters degree preferred but not required.) Tushar Singh Associate Manager USG Inc. [email protected] 6000 Venture Dr, Suite C & D, Dublin, Ohio 43017 -- This e-mail and any attached files are confidential and may be legally privileged. If you are not the addressee, any disclosure, reproduction, copying, distribution, or other dissemination or use of this communication is strictly prohibited. If you have received this transmission in error please notify the sender immediately and then delete this mail. E-mail transmission cannot be guaranteed to be secure or error free as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender therefore does not accept liability for any errors or omissions in the contents of this message which arise as a result of e-mail transmission or changes to transmitted date not specifically approved by the sender. If this e-mail or attached files contain information which do not relate to our professional activity we do not accept liability for such information. -- Keywords: cprogramm continuous integration continuous deployment access management information technology Idaho New Jersey Face 2 Face Interview :: Data Engineer in Princeton, NJ [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1987760&uid= |
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| 09:24 PM 05-Dec-24 |