Data Engineer

About Us

CLOUDSUFI is a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Diversity & Inclusivity

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/ ;

Summary

We are seeking a talented and passionate Data Engineer to join our growing data team. In this role, you will be responsible for building, maintaining, and optimizing our data pipelines and infrastructure on Google Cloud Platform (GCP). The ideal candidate will have a strong background in data warehousing, ETL/ELT processes, and a passion for turning raw data into actionable insights. You will work closely with data scientists, analysts, and other engineers to support a variety of data-driven initiatives.

Responsibilities

Design, develop, and maintain scalable and reliable data pipelines using Dataform or DBT.

Build and optimize data warehousing solutions on Google BigQuery.

Develop and manage data workflows using Apache Airflow.

Write complex and efficient SQL queries for data extraction, transformation, and analysis.

Develop Python-based scripts and applications for data processing and automation.

Collaborate with data scientists and analysts to understand their data requirements and provide solutions.

Implement data quality checks and monitoring to ensure data accuracy and consistency.

Optimize data pipelines for performance, scalability, and cost-effectiveness.

Contribute to the design and implementation of data infrastructure best practices.

Troubleshoot and resolve data-related issues.

Stay up-to-date with the latest data engineering trends and technologies, particularly within the Google Cloud ecosystem.

Qualifications

Bachelor’s degree in computer science, a related technical field, or equivalent practical experience.

3-4 years of experience in a Data Engineer role.

Strong expertise in SQL (preferably with BigQuery SQL).

Proficiency in Python programming for data manipulation and automation.

Hands-on experience with Google Cloud Platform (GCP) and its data services.

Solid understanding of data warehousing concepts and ETL/ELT methodologies.

Experience with Data form or DBT for data transformation and modeling.

Experience with workflow management tools such as Apache Airflow.

Excellent problem-solving and analytical skills.

Strong communication and collaboration skills.

Ability to work independently and as part of a team.

Preferred Qualifications

Google Cloud Professional Data Engineer certification.

Knowledge of data modeling techniques (e.g., dimensional modeling, star schema).

Familiarity with Agile development methodologies.

Behavioral Competencies

Should have very good verbal and written communication, technical articulation, listening and presentation skills

Should have proven analytical and problem-solving skills

Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills

Should be a quick learner, self-starter, go-getter and team player

Should have experience of working under stringent deadlines in a Matrix organization structure