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Machine Learning Big Data Engineer IRC221727
| Job: | IRC221727 |
| Location: | United States - Basking Ridge NJ |
| Designation: | Specialist Engineer |
| Experience: | 5-10 years |
| Function: | Engineering |
| Skills: | Hadoop, Apache, Java, JavaScript, Kafka, MapReduce, Python, Scala |
| Work Model: | Hybrid |
Description:
• Perform integration testing and assist QA on large projects.
• Contribute to requirements analysis, project estimation, design, coding, and testing.
• Suggest and implement third-party libraries and software in the product when appropriate.
• Deliver applications that meet the performance and scalability goals of the project.
Requirements:
• Deep knowledge of distributed data architecture concepts such as caching, map-reduce, and stream processing.
• Solid knowledge of data security & compliance.
• Understand data visualization techniques and libraries and their applicability to business
• Must be proficient in the programming languages of Java, Java Scripts, Python, Scala, and SQL.
• Master or PhD Degree (Preferred) or Bachelor in Electrical Engineering, Computer Science, Math, Statistics, etc.
Preferences:
• This role will be responsible for designing and implementing big data analysis applications to support client device technology.
• Design and lead data integration from various data sources.
• Performance tuning, diagnosing, resolving big data, and streaming technical issues.
• Design and implement solutions across multiple layers of the technology stack, including data processing, database, web services, network, and user security.
• Assist UI and frontend engineers to ensure the system meets performance goals.
Job Responsibilities:
• Always be on the top of latest techniques on big data and AIML
• 5+ years’ hands-on experience designing and implementing data applications in production using Java/ Python/ Scala, etc. on big data and streaming platforms.
• 5+ years’ hands-on experience with related/complementary open-source software platforms and languages such as Java, Linux, Apache, Hadoop, Kafka, Pulsar, etc.
• Deep knowledge of information architecture methodologies; enterprise-wide data architecture for designing and building data lakes, data warehouses, and BI reporting databases on Docker cluster.
We Offer
Exciting Projects:Come take your place at the forefront of digital transformation! With clients across all industries and sectors, we offer an opportunity to work on market-defining products using the latest technologies.
Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance:GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules and opportunities to work from home.
Professional Development:We provide continuing education classes, professional certification and training (technical, soft skills, language, and communication skills) to help you realize your professional goals. Being part of a global organization, there are additional learning opportunities through international knowledge exchanges.
Excellent Benefits:We provide our employees with competitive salaries, health and life insurance, short-term and long-term disability insurance, a matched contribution 401K plan, flexible spending accounts, and PTO and holidays