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GlobalLogic
Data & AI || Senior Data Analytics Engineer
GlobalLogic
posted 21hr ago
Flexible timing
Key skills for the job
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:Experience
Expertise in building data pipelines and ETL processes, with tools like Fivetran, Snowflake, and DBT. Strong proficiency in Python, SQL, and tools like PowerBI , Sigma or type analytic tools for data integration and dashboard analytics reporting. Familiarity with cloud platforms like AWS and experience with big data technologies such as Snowflake. Proven ability to work cross-functionally, leveraging analytical skills to present complex data insights to both technical and non-technical stakeholders.
Background & Qualifications
Masters degree in engineering or analytics. 7+ years of experience in data engineering roles, including managing pipelines and optimizing infrastructure and building visual data analytic business driven solutions. Proven experience in leading data engineering projects, integrating data from multiple sources, and deploying analytic models to support business decisions. Worked in small teams driving innovative solutions
Job Responsibilities:Key Responsibilities
Data Pipeline Design & Implementation: Build and maintain robust data pipelines and ETL processes, leveraging tools like Fivetran, DBT or Similar Transform Tools, and Snowflake. Data Infrastructure Development: Design and managing data lakes, warehouses, and databases to support advanced analytics and AI workflows, including the use of platforms like PowerBI, Tableau and Sigma and other BI Tools. Collaboration with cross functional product, engineering teams and customers to understand data needs and create models that enhance Analytics and AI/ML projects Data Quality Management: Implement frameworks that ensure data reliability across the organization, ensuring smooth integrations across systems. Performance Tuning & Optimization: Optimize data pipelines and troubleshoot issues proactively, Documentation & Best Practices: Maintain comprehensive documentation of all data engineering processes, following the industry’s best practices.
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 — 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!
Employment Type: Full Time, Permanent
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