Description:

We are looking for a skilled Data Engineer to join our data team and help scale our cloud data infrastructure. In this role, you will design, build, and optimize robust data pipelines and transformation workflows using GCP, Python, SQL, and dbt. You will work closely with analytics, product, and engineering teams to ensure our data models are clean, scalable, and readily available to drive business decisions.
Key Responsibilities
Pipeline Development: Design, build, and maintain scalable data ingestion and processing pipelines using Python and GCP services.
Data Transformation: Develop, test, and document modular data models and transformations using dbt (data build tool) and advanced SQL.
Cloud Infrastructure Optimization: Manage and optimize data warehouses (primarily Google BigQuery) for performance, cost-efficiency, and scale.
Data Quality & Governance: Implement automated testing, monitoring, and data quality checks within dbt and orchestration tools to ensure high data reliability.
Collaboration: Partner with data analysts, data scientists, and software engineers to understand data requirements and deliver end-to-end data solutions.

Requirements:

We are looking for a skilled Data Engineer to join our data team and help scale our cloud data infrastructure. In this role, you will design, build, and optimize robust data pipelines and transformation workflows using GCP, Python, SQL, and dbt. You will work closely with analytics, product, and engineering teams to ensure our data models are clean, scalable, and readily available to drive business decisions.
Key Responsibilities
Pipeline Development: Design, build, and maintain scalable data ingestion and processing pipelines using Python and GCP services.
Data Transformation: Develop, test,



and document modular data models and transformations using dbt (data build tool) and advanced SQL.
Cloud Infrastructure Optimization: Manage and optimize data warehouses (primarily Google BigQuery) for performance, cost-efficiency, and scale.
Data Quality & Governance: Implement automated testing, monitoring, and data quality checks within dbt and orchestration tools to ensure high data reliability.
Collaboration: Partner with data analysts, data scientists, and software engineers to understand data requirements and deliver end-to-end data solutions.

Job Responsibilities:

We are looking for a skilled Data Engineer to join our data team and help scale our cloud data infrastructure. In this role, you will design, build, and optimize robust data pipelines and transformation workflows using GCP, Python, SQL, and dbt. You will work closely with analytics, product, and engineering teams to ensure our data models are clean, scalable, and readily available to drive business decisions.
Key Responsibilities
Pipeline Development: Design, build, and maintain scalable data ingestion and processing pipelines using Python and GCP services.
Data Transformation: Develop, test, and document modular data models and transformations using dbt (data build tool) and advanced SQL.
Cloud Infrastructure Optimization: Manage and optimize data warehouses (primarily Google BigQuery) for performance, cost-efficiency, and scale.
Data Quality & Governance: Implement automated testing, monitoring,



and data quality checks within dbt and orchestration tools to ensure high data reliability.
Collaboration: Partner with data analysts, data scientists, and software engineers to understand data requirements and deliver end-to-end data solutions.

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 versatile 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!

📌 GCP Data Engineer (DBT) (Hyderabad)
🏢 GlobalLogic
📍 Hyderabad