Software Engineer- Apache spark IRC303924
Experience: 4–8 years of professional software development experience
Strong proficiency in Java and/or Python.
Big Data Frameworks: Hands-on experience or solid familiarity with Apache Spark and the Hadoop ecosystem.
Google's Gemini models/APIs.
Proven experience in testing, debugging, and maintaining batch or streaming data pipelines.
Preferred Skills (Nice to Have)- Experience working on Cloud environments (e.g., Google Cloud Platform, Dataproc).
Familiarity with unit testing frameworks and CI/CD pipelines for data engineering.- Experience with automated data diffing or validation tools.
Develop and maintain automated tools and scripts to facilitate and accelerate Apache Spark version upgrades.
Design and execute comprehensive data validation pipelines and data quality checks post-upgrade to ensure data parity, integrity, and performance.
Write clean, scalable, and maintainable code for data processing or toolchain utilities.
Exciting Projects:



Come take your place at the forefront of digital transformation 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 integral centers or client facilities
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules.
We offer you the best quality of work life so that you exceed the expectations of our clients, while achieving your professional and personal ambitions.
Professional Development: Our dedicated Learning & Development team regularly organizes English classes, professional certifications, and technical and soft skill trainings. Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, extended paternity leave, annual performance bonuses, and referral bonuses.
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. S

📌 Software Engineer- Apache spark4 (Ciudad de México)
🏢 GlobalLogic
📍 Ciudad de México