Machine Learning Big Data Engineer IRC221727 Full-time

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.

What 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

About GlobalLogic
GlobalLogic is a leader in digital engineering. We help brands across the globe design and build innovative products, platforms, and digital experiences for the modern world. By integrating experience design, complex engineering, and data expertise-we help our clients imagine what’s possible, and accelerate their transition into tomorrow’s digital businesses. Headquartered in Silicon Valley, GlobalLogic operates design studios and engineering centers around the world, extending our deep expertise to customers in the automotive, communications, financial services, healthcare and life sciences, manufacturing, media and entertainment, semiconductor, and technology industries. GlobalLogic is a Hitachi Group Company operating under Hitachi, Ltd. (TSE: 6501) which contributes to a sustainable society with a higher quality of life by driving innovation through data and technology as the Social Innovation Business.