Data Engineer

Company: Sundayy

About The Company
ShyftLabs is a rapidly growing data product company founded in early 2020, specializing in delivering innovative digital solutions to Fortune 500 clients across various industries. Our mission is to accelerate business growth by creating value through cutting-edge data engineering and analytics solutions. We focus on building scalable, reliable, and efficient data infrastructures that enable our clients to harness the full potential of their data assets. Our team comprises passionate professionals dedicated to pushing the boundaries of technology and delivering impactful results. As part of our growth journey, we prioritize fostering a collaborative, inclusive, and dynamic work environment where innovation thrives and individual contributions are recognized.
About The Role
We are seeking an experienced and versatile Data Engineer to join our expanding team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support enterprise-level analytics and data science initiatives. You will work closely with stakeholders to understand their data needs, translate business requirements into technical solutions, and ensure data systems are optimized for performance, reliability, and cost-efficiency. The ideal candidate will possess strong technical expertise in cloud-based data platforms, exceptional communication skills, and a business-oriented mindset to effectively collaborate with clients and internal teams. This position offers an exciting opportunity to influence our data architecture and contribute to high-impact projects for leading organizations.
Qualifications
* 5+ years of hands-on experience in data engineering, data integration, or data platform development
* Bachelor’s degree in Computer Science, Engineering, Mathematics, or related STEM field
* Strong programming and query skills in SQL and Python
* Experience with distributed version control systems such as Git in Agile/Scrum environments
* Proven experience designing and orchestrating ETL pipelines, particularly with Databricks
* Hands-on experience working within cloud environments such as GCP, AWS, or Azure
* Knowledge of database systems including MongoDB and Elasticsearch
* Understanding of data warehousing and dimensional modeling methodologies
* Experience with Airflow, Hadoop, and Docker for containerized workflows
* Ability to identify opportunities for improving data quality, reliability, and automation
* Strong business awareness and excellent communication skills to collaborate effectively with technical and non-technical stakeholders
* Experience within the retail industry is a plus
Responsibilities
* Design, build, and maintain scalable and reliable batch and real-time ETL/ELT data pipelines using cloud services such as GCP Dataflow, Cloud Functions, Pub/Sub, and Cloud Composer
* Architect and implement robust data infrastructure capable of handling high-volume data ingestion and processing
* Develop and manage the central data warehouse in Google BigQuery, ensuring optimal performance and scalability
* Design and implement data models, schemas, and table structures that support long-term maintainability and efficiency
* Write clean, efficient, and maintainable SQL and Python code to transform raw data into analysis-ready datasets
* Build reliable transformation workflows that support analytics, reporting, and data science initiatives
* Monitor, troubleshoot, and optimize data infrastructure to ensure high performance, reliability, and cost efficiency
* Implement BigQuery best practices, including partitioning, clustering, query optimization, and materialized views
* Create and maintain curated data models serving as the “source of truth” for business intelligence and reporting
* Ensure data is optimized and accessible for BI tools such as Looker and other analytics platforms
* Implement automated data quality checks, validation rules, and monitoring frameworks to maintain data integrity
* Establish processes for data governance, observability, and lineage tracking
* Collaborate with software engineers, data analysts, and data scientists to understand their data requirements and provide necessary infrastructure and data products
* Lead and support client and stakeholder communication, translating business needs into technical solutions
* Partner with product teams and leadership to align data solutions with business strategy and client expectations
* Take ownership of data platform architecture decisions, shaping future data infrastructure and analytics capabilities
* Identify opportunities to improve data reliability, automate workflows, and generate new insights through data analysis
* Contribute to a collaborative, high-performing engineering culture emphasizing strong communication and teamwork
Benefits
* Fully remote work arrangement with flexibility to work from home
* Comprehensive health, dental, and vision insurance premiums covered for employees and dependents from day one
* Access to extensive learning and development resources to support continuous growth
* Opportunity to work with Fortune 500 clients and influence impactful data solutions
* Collaborative and inclusive work environment fostering innovation and professional development
* Potential for future transition into a hybrid work model with occasional in-office collaboration
Equal Opportunity
ShyftLabs is an equal-opportunity employer committed to creating a diverse and inclusive environment. We encourage applications from candidates of all backgrounds, including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality. We are dedicated to providing accommodations throughout the interview process to ensure equal access for all applicants. Join us in shaping the future of data-driven solutions and making a meaningful impact across industries.

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