Data Engineer Irc180457

Year    Noida, Uttar Pradesh, India

Job Description

b'






Job:
IRC180457


Location:
India - Noida


Designation:
Associate Consultant


Experience:
5-10 years


Function:
Engineering


Skills:
Big Data, Kafka, Spark Streaming


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\xe2\x80\x99 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\xe2\x80\x99 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 \xe2\x80\x93 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 \xe2\x80\x93 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.
\xe2\x80\x94


Preferences:

Big Data, Spark Streaming, Kafka


Job Responsibilities:

5+years of experience in Data Space with at least 3+ years\xe2\x80\x99 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 \xe2\x80\x93 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 \xe2\x80\x93 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.


What 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 \xe2\x80\x94 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\xe2\x80\x94we help our clients imagine what\xe2\x80\x99s possible, and accelerate their transition into tomorrow\xe2\x80\x99s 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.

Beware of fraud agents! do not pay money to get a job

MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD3055206
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Noida, Uttar Pradesh, India
  • Education
    Not mentioned
  • Experience
    Year