Mid-Level Data Engineer IRC307801

Description

The client is transforming its global data infrastructure to deliver faster, more scalable, and more intelligent analytics capabilities. As part of this journey, we’re hiring a Data Engineering to manage the technical delivery and operational resilience of our core data platform.

This role sits at the intersection of engineering leadership, platform reliability, and architecture – helping us ensure that data flows are healthy, scalable, and ready for production. You’ll work across project delivery, production support, and platform enhancement initiatives while mentoring a growing team of engineers.

Requirements

Familiarity with Google Cloud Platform, including BigQuery, Cloud Composer (Airflow), Compute Engine, and Monitoring.

Strong proficiency in Python, including experience in building, testing, and deploying robust ETL/ELT pipelines in production

Experience developing data quality frameworks, including automated tests, cross-dataset validations, and anomaly detection across diverse data assets

Advanced SQL skills, including data modeling (star/snowflake/3NF), optimization, and writing performant queries tailored to BigQuery’s slot-based execution model

Solid working knowledge of DBT, including incremental models, testing, documentation, and advanced features like custom macros

Demonstrated ability to optimize BigQuery workloads through partitioning, clustering, materialized views, and cost-aware development practices

Experience working with ETL orchestration tools, ideally Cloud Composer or similar frameworks (Kestra, Dagster, etc.).

Hands-on experience consuming and managing APIs for data extraction.

Exposure to Site Reliability Engineering (SRE) best practices, including ticket triage, incident management, and documenting runbooks/SOPs

Familiar with Git and modern software development workflows, including pull requests and code reviews

Comfortable working in an agile team environment, with the ability to multitask and reprioritize based on changing project needs

Clear and effective communication skills, with the ability to engage technical and non-technical stakeholders alike

Job responsibilities

Designing, building, and maintaining scalable, reliable data pipelines using Python,SQL, DBT, and Google Cloud Platform (GCP) services like BigQuery and Cloud Composer.

Contributing to the development and evolution of our data quality framework, ensuring robust automated testing and cross-dataset validation across all critical data assets

Writing and optimizing advanced SQL to power data models, analytics, and reporting pipelines, with a focus on performance and efficiency within BigQuery

Developing and maintaining DBT models, including testing, documentation, incremental loading strategies, and the creation of reusable macros

Supporting day-to-day incident and ticket resolution, including root cause analysis and documentation of runbooks/SOPs to drive platform reliability

Working with APIs and external data sources to extract, normalize, and integrate new datasets into the platform

Participating in agile ceremonies (stand-ups, retros, planning), contributing to sprint goals and helping support the wider team objectives

Actively contributing to code reviews, documentation, and peer learning – helping to raise engineering standards and share knowledge within the team

Monitoring system health and pipeline performance using GCP-native tools and dashboards, and proactively identifying opportunities for cost or performance optimization

Bonus points for

GCP Data Engineer certification

Prior experience in media, marketing, or digital advertising analytics

Experience implementing data quality frameworks and governance tools

Familiarity with cost optimization strategies for BigQuery and other GCP services

What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.