EXL - Data Engineer - Google Cloud Platform

Note : If shortlisted, you will be invited for initial rounds on 7th February 2026 (Saturday) in Gurugram

Role : Data Engineer GCP

Job Description :

Summary :

- Design, Builds, and maintains the data infrastructure that supports the organization's data related initiatives

- Collaborates with cross-functional teams, including data scientists, and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of Data.

- Develops scalable data pipelines, optimizes data workflows, and ensures the quality and integrity of the data.

What will you do :

- Design scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouse or data lakes.

- Develops data pipelines that enable efficient data storage, retrieval, and analysis.

- Implements Data validation and quality checks to identify and address data anomalies or errors.

- Design data warehousing and data lake solutions that facilitate data storage, retrieval, and analysis.

- Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.

- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.

- Identifies opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables.

- Provides guidance and mentorship to junior data engineers to help them develop their technical skills and grow in their role.

Required :

- 5+ Years of Experience with SQL, NoSQL

- 5+ Years of Experience with Python or a comparable scripting language

- 5+ Years of Experience with Data warehouses and infrastructure components

- 5+ Years of Experience with ELT/ETL and building high-volume data pipelines

- 5+ Years of Experience with reporting/Analytic tools

- 5+ Years of Experience with Query optimization, data structures, transformation, metadata,

dependency, and workload management

- 5+ Years of Experience with Big Data and cloud architecture

- 5+ Years of hands-on experience building modern data pipelines within a major cloud platform (GCP, AWS, Azure)

- 3 - 5 Years of Experience with development/scaling of apps on containerized environment

- 5+ Years of Experience with real-time and streaming technology

- 3+ year(s) of soliciting complex requirements and managing relationships with key stakeholders.

- 3+ year(s) of experience independently managing deliverables.

Preferred :

- Experience in designing and building data engineering solutions in cloud environments (preferably GCP)

- Experience with Git, CI/CD pipeline, and other Devops principles/best practices

- Experience bash shell scripts, UNIX utilities & UNIX Commands

- ML/AI Experience is a plus

- Understanding of software development methodologies including waterfall and agile

- Ability to leverage multiple tools and programming languages to analyze and manipulation data knowledge of API development

- Experience with complex systems and solving challenging analytical problems

- Strong collaboration and communication skills within and across team knowledge with schema design and dimensional data modeling

- Google Professional Data Engineer Certification

- Knowledge of microservices and SOA

- Experience designing, building, and maintaining data processing systems