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 You must hold B.E. / B.Tech. / MCA in Computer Science, Engineering or related field. It is essential that you have 4-6 /3-4 years of experience in Data Engineering. It is essential that you have experience in creation of necessary infrastructure for ETL jobs (Using MSBI - SSIS, SSRS, SQL server (SQL and stored procedures, functions, triggers mandatory skills) from a wide range of data sources. It is essential that you have experience in collecting data requirements, maintaining metadata about data. You must have data modelling technical awareness. Basic knowledge on Cloud computing services such as AWS. You will have experience in creation and maintenance of optimum data pipeline architecture for ingestion, processing of data. You will bring along excellent communication skills with the ability to interact with partners globally. You must be an excellent problem solver with demonstrated experience in solving difficult technology challenges, with a can-do attitude. You will be willing to learn new technologies, share your ideas and assist other team members as needed. You will have strong analytical and problem-solving skills ability to define problems, collect data, establish facts, and draw conclusions. At least 1 year experience in trouble shooting and supporting production issue fixes. Regulatory reporting exposure (nice to have). Job Responsibilities Building and maintaining data pipelines adhering to suggested enterprise architecture principles and guidelines Collecting and managing of data, converting it into useful information Generating data validation processes and analytical tools 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 Delivering quality deliverables on time Translating complex functional requirements into technical solutions. 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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