Job Description

Description You must hold B.E. / B.Tech. / MCA in Computer Science, Engineering or related field It is essential that you have 8+ years of experience in Data Engineering. It is essential that you have experience in C reation and maintenance of optimum data pipeline architecture for ingestion, processing of data It is essential that you have experience in creation of necessary infrastructure for ETL jobs from a wide range of data sources using Talend, DBT, S3, Snowflake. It is essential that you have experience in Data storage technologies like Amazon S3, SQL, NoSQL You must bring along hands on experience in writing complex SQL. You must have data modelling technical awareness. You will bring along previous experience working with stakeholders with different time zones. Must have: You must hold B.E. / B.Tech. / MCA in Computer Science, Engineering or related field It is essential that you have 8+ years of experience in Data Engineering. It is essential that you have experience in C reation and maintenance of optimum data pipeline architecture for ingestion, processing of data It is essential that you have experience in creation of necessary infrastructure for ETL jobs from a wide range of data sources using Talend, DBT, S3, Snowflake. It is essential that you have experience in Data storage technologies like Amazon S3, SQL, NoSQL You must bring along hands on experience in writing complex SQL. You must have data modelling technical awareness. You will bring along previous experience working with stakeholders with different time zones. Nice to have skills: Experience in ETL development using AWS data services pipeline Working knowledge on using Bigdata technologies. Experience in collaborating data quality and data governance team. Exposure to reporting tools like Tableau. Apache Airflow, Apache Kafka Payments domain knowledge. Requirements 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. Preferences ETL , SQL , NO SQL, C, Data engineer Job Responsibilities Assisting in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on AWS Requirements definition, source data analysis and profiling, the logical and physical design of the data lake and data warehouse as well as the design of data integration and publication pipelines Developing Snowflake deployment and usage best practices Helping educate the rest of the team members on the capabilities and limitations of Snowflake Building and maintaining data pipelines adhering to suggested enterprise architecture principles and guidelines Designing, building, testing, and maintaining data management systems Working in sync with internal and external team members like data architects, data scientists, data analysts to handle all sorts of technical issue Acting as a technical leader within the team Working in an Agile/Lean model 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!

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