Note: The job is a remote job and is open to candidates in USA. UPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. They are seeking a highly skilled Sr Data Engineer to design, build, and evolve scalable data pipelines and platforms that power AI/ML models for enterprise customers.
Responsibilities
- Architect, build, and maintain scalable, production-grade data pipelines and data models to enable reliable ingestion, transformation, and delivery of data
- Own end-to-end pipeline reliability, including orchestration, monitoring, alerting, and incident response to meet data freshness and quality expectations
- Partner with product, engineering, and analytics stakeholders to define data requirements, translate them into clear technical specifications, and deliver iteratively
- Improve performance, scalability, and cost efficiency of data workloads by tuning SQL queries, optimizing storage/compute patterns, and standardizing best practices across projects
- Document data models, pipeline behavior, and operational runbooks to ensure maintainability and smooth knowledge transfer across accounts
Skills
- Strong data engineering expertise, including designing and operating data pipelines, data models, and batch/stream processing workflows in a production environment
- Proficiency with Python for building data pipelines, automation, and data tooling
- Advanced SQL skills for data transformation, analysis, and performance tuning
- Experience working with PostgreSQL, including schema design, query optimization, and data integrity best practices
- Experience building data pipelines and workloads on Databricks
- Experience using dbt to develop, test, and maintain modular analytics engineering workflows
- Experience working with MongoDB or other document databases as part of modern data stacks
- Experience working with one or more major cloud platforms: AWS, Azure, or GCP
- Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads
- Working knowledge of Apache Spark for large-scale data processing
Company Overview