Job Description

Work Model: Hybrid Description Join GlobalLogic, to be a valid part of the team working on a huge software project for the world-class company providing M2M / IoT 4G/5G modules e.g. to the automotive, healthcare and logistics industries. Through our engagement, we contribute to our customer in developing the end-user modules\' firmware, implementing new features, maintaining compatibility with the newest telecommunication and industry standards, as well as performing analysis and estimations of the customer requirements. Requirements 5+years of experience in Data Space with at least 3+ years\' experience in Modern Data Stack/Data Lakehouse, knowledge of Big Data Pipelines using Airflow or similar tools is a plus . Experience of Real-time Data streaming technologies Spark Streaming with Kafka or any streaming source. High level of Proficiency in SQL (Advanced) and experience with Semi-structured data. Experience with cloud-based preferably AWS data management platforms and typical storage/compute services (Snowflake, Open Source -Iceberg/Delta with Trino or any other compute enginer etc.) End-to-End experience in data stack preferred - from raw data to providing data insights to consumers of different types Good understanding of Continued integration to drive the DevOps implementation on respective projects using tools - Gitlab, Airflow, Jenkins : Knowledge of Airflow Administration is a plus Requires strong analytical, conceptual and problem-solving abilities Must be able to understand business requirements and translate them into technical deliveries. Must have a high degree of initiative to implement solutions in a fast-paced, dynamic environment. Experience working with remote teams and must have excellent communication skills. - Preferences Big Data, Spark Streaming, Kafka Job Responsibilities 5+years of experience in Data Space with at least 3+ years\' experience in Modern Data Stack/Data Lakehouse, knowledge of Big Data Pipelines using Airflow or similar tools is a plus Experience of Real-time Data streaming technologies Spark Streaming with Kafka or any streaming source High level of Proficiency in SQL (Advanced) and experience with Semi-structured data. Experience with cloud-based preferably AWS data management platforms and typical storage/compute services (Snowflake, Open Source -Iceberg/Delta with Trino or any other compute enginer etc.) End-to-End experience in data stack preferred - from raw data to providing data insights to consumers of different types. Good understanding of Continued integration to drive the DevOps implementation on respective projects using tools - Gitlab, Airflow, Jenkins : Knowledge of Airflow Administration is a plus Requires strong analytical, conceptual and problem-solving abilities Must be able to understand business requirements and translate them into technical deliveries. Must have a high degree of initiative to implement solutions in a fast-paced, dynamic environment. Experience working with remote teams and must have excellent communication skills. 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!

foundit