| Opening for Data Engineer - Hybrid at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1545238&uid= From: meenakshi, kpg99 [email protected] Reply to: [email protected] Title - Data Engineer Visa - USC with LinkedIn Location Hybrid in Phoenix, AZ (locals only ) Duration 6+ months Key Responsibilities: Design and Develop Data Pipelines: Create and maintain scalable ETL (Extract, Transform, Load) processes to gather, process, and store data from various sources. Optimize data pipelines for performance and reliability. Database Management: Design, implement, and manage robust, scalable, and efficient databases. Ensure data security, availability, and performance. Data Integration: Integrate data from multiple sources, ensuring consistency and accuracy. Work with APIs and other data integration tools. Data Quality and Governance: Implement data quality checks and ensure data governance practices are followed. Monitor data quality and integrity, addressing any issues promptly. Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs. Work closely with DevOps and IT teams to ensure seamless deployment and operation of data solutions. Documentation and Best Practices: Document data processes, workflows, and architectures. Promote best practices in data engineering and contribute to the continuous improvement of the data infrastructure. Qualifications Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience as a Data Engineer or in a similar role. Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL). Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Proficiency in programming languages such as Kotlin and Java. Familiarity with front-end technologies, particularly React.js, for data visualization and UI integration. Experience with Google Cloud Platform and its data-related services (e.g., BigQuery, Dataflow, Pub/Sub). Strong understanding of data warehousing concepts and experience with data warehouse solutions (e.g., BigQuery). Knowledge of data modeling, data architecture, and ETL processes. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Regards, Meenakshi Bisht Technical Recruiter D: 609-357-5502 E: [email protected] Note:: We are going through prime vendor. Keywords: user interface javascript information technology Arizona Opening for Data Engineer - Hybrid [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=1545238&uid= |
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| 12:15 AM 10-Jul-24 |