Job description

Description • Design and lead end-to-end data integration from diverse sources. • Perform performance tuning, diagnose, and resolve complex big data and streaming technical issues. • Design and implement scalable solutions across the technology stack, including data processing, database, web services, network, and security layers. • Perform integration testing and provide support to QA teams on large-scale projects. • Contribute to requirements analysis, project estimation, system design, coding, and testing. • Evaluate and implement appropriate third-party libraries and software to enhance product capabilities. Stay current with emerging techniques and trends in big data and AI/ML. Requirements • Proficiency in programming languages: Java, Python, Scala, and SQL. • Strong analytical capabilities, creativity, and critical thinking skills. • Effective written and verbal communication, with the ability to facilitate team collaboration. Job responsibilities • 5+ years of hands-on experience designing and implementing data applications in production using Java, Python, or Scala on big data platforms, with deep expertise in big data technologies and data optimization techniques. • 5+ years of hands-on experience with streaming technologies, specifically with a strong focus on Kafka, and various open-source software platforms (e.g., Apache ecosystem, Linux). • Proven ability to optimize data flow and design efficient, scalable data pipelines, including data lakes and warehouses on containerized clusters. • Strong understanding of distributed data architecture concepts (e.g., caching, MapReduce, stream processing). • Solid knowledge of data security, governance, and compliance. • Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field. GlobalLogic estimates the starting pay range for this role to be performed in Basking Ridge, NJ, to be $110,000 to $115,000 and reflects base salary only. This pay range is provided as a good-faith estimate, and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations 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, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Requirements

Must-haves

Design and lead end-to-end data integration from diverse sources.
Perform performance tuning, diagnose, and resolve complex big data and streaming technical issues.
Design and implement scalable solutions across the technology stack, including data processing, database, web services, network, and security layers.
Perform integration testing and provide support to QA teams on large-scale projects.
Contribute to requirements analysis, project estimation, system design, coding, and testing.
Evaluate and implement appropriate third-party libraries and software to enhance product capabilities.
Stay current with emerging techniques and trends in big data and AI/ML.
Proficiency in programming languages: Java, Python, Scala, and SQL.
Strong analytical capabilities, creativity, and critical thinking skills.
Effective written and verbal communication, with the ability to facilitate team collaboration.
5+ years of hands-on experience with streaming technologies, specifically with a strong focus on Kafka, and various open-source software platforms (e.g., Apache ecosystem, Linux).
Proven ability to optimize data flow and design efficient, scalable data pipelines, including data lakes and warehouses on containerized clusters.
Strong understanding of distributed data architecture concepts (e.g., caching, MapReduce, stream processing).
Solid knowledge of data security, governance, and compliance.
Bachelor’s or Master’s degree in Computer Science, Computer or Electrical Engineering, Mathematics, or a related field.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aimljavapythonsql

Platform: globallogic
Effort: medium

Benefits

Benefits detected in the listing.

401k

Pto

Professional Development