Description

Design and implement data solutions using MS Azure, DataBricks, and Azure Data Factory, ensuring high performance and scalability.
Enhance and improve existing codebases, focusing on efficiency and reliability, while contributing to new feature implementation and system enhancements within the software development framework.
Understand and implement CI/CD processes within complex Azure DevOps environments, ensuring seamless software deployment and updates.
Troubleshoot and debug process failures using knowledge of application areas and code flows.
Handle large-scale data wrangling and optimize SQL queries for big data environments, managing and transforming petabytes of data to enhance data retrieval and processing speeds, while collaborating in the development of new training sets for data science.
Identify and resolve software glitches and API issues, ensuring smooth and efficient system operations.
Work closely with data scientists to translate conceptual data models into implementable software pipelines, ensuring alignment and integration.
Regularly update and maintain the existing data systems and platforms, implementing minor enhancements as needed.
Engage in cross-functional collaboration, bridging the gap between software engineering and data science, to facilitate more focused modeling efforts by U.S.-based resources.

Requirements

Bachelor s or advanced degree in Data Science, Machine Learning, Computer Science, Engineering, Mathematics, Statistics, Operations research, or a related field; or equivalent experience.
3-5 years of relevant experience in data science and software engineering, with a demonstrated track record of developing high-performance data solutions, software enhancement, and operational management in complex technical environments.
Proficient in MS Azure, DataBricks, and Azure Data Factory. Strong skills in SQL and experience in data wrangling and manipulation of large data sets (petabytes). PySpark is preferred.
Solid experience in software development, particularly in enhancing and maintaining codebases. Familiarity with software development frameworks and best practices.
Understanding of CI/CD processes, with hands-on experience in Azure DevOps or similar environments. Ability to manage software deployment and updates efficiently.
Proven ability to troubleshoot and debug process failures, with a keen understanding of application areas and code flows.
Strong collaboration skills, particularly in working closely with data scientists to transform conceptual models into implementable software solutions. Ability to bridge the gap between software engineering and data science effectively.
Strong analytical skills and problem-solving abilities, with a focus on efficiency and reliability in system operations
Willingness to continuously learn and adapt to new technologies and methodologies in the rapidly evolving field of data science and software engineering.
Basic project management skills, including the ability to manage multiple tasks simultaneously and meet deadlines.
Strong verbal and written communication skills in English, vital for cross-functional collaboration and effective use of email and Slack

Job Responsibilities

Design and implement data solutions using MS Azure, DataBricks, and Azure Data Factory, ensuring high performance and scalability.
Enhance and improve existing codebases, focusing on efficiency and reliability, while contributing to new feature implementation and system enhancements within the software development framework.
Understand and implement CI/CD processes within complex Azure DevOps environments, ensuring seamless software deployment and updates.
Troubleshoot and debug process failures using knowledge of application areas and code flows.
Handle large-scale data wrangling and optimize SQL queries for big data environments, managing and transforming petabytes of data to enhance data retrieval and processing speeds, while collaborating in the development of new training sets for data science.
Identify and resolve software glitches and API issues, ensuring smooth and efficient system operations.
Work closely with data scientists to translate conceptual data models into implementable software pipelines, ensuring alignment and integration.
Regularly update and maintain the existing data systems and platforms, implementing minor enhancements as needed.
Engage in cross-functional collaboration, bridging the gap between software engineering and data science, to facilitate more focused modeling efforts by U.S.-based resources.

We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

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, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

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.

Only .docx, .rtf, .pdf formats allowed to a max size of 5 MB.

Education