Senior Data Engineer

About the client - The client is a company in the food ordering/delivery field.

About the role:

Data Platform team is to democratize data and provide a cost-efficient, observable and reliable data platform that empowers and enables the teams to accelerate their ability to safely use data to generate actionable insights and product features. We are looking for a data focused Senior Engineer to join our Data Platform team to own and provide technical expertise and leadership around core data systems ranging from data services to processing frameworks to generate and build domain based data products. You will partner with stakeholders to standardize metrics for usage across reporting, experimentation and ad-hoc analysis. This is an opportunity to use cutting edge big data capabilities of the client's Data Platform and to collaborate with our partner teams to build innovative data solutions, helping the client to derive value from data at a rapid pace.

Responsibilities:

• You'll write performant and concise code to meet the defined standards, review the code of peers, and ensure security and scalability of the features you work on
• Follow engineering best practices to deliver high quality ETL code and tests. Use CI/CD automated testing, data validations and data observability to ensure high quality data.
• Work with product feature teams enabling them to create data pipelines and publish golden datasets.
• Educate and promote best practices around data engineering, use of data engineering architecture and new technologies.
• Coach and mentor engineers across the engineering team to build a data culture.

Required Skills & Experience:

• You have 7+ years of experience in engineering especially distributed systems, software engineering and data engineering.
• You have experience in a cloud environment like AWS with experience running, scaling and deploying data pipelines and microservices in the cloud.
• Strong computer science fundamentals in data structures, algorithms
• You have experience with data serialization/table formats like Avro, Parquet, Iceberg/Hudi/Delta.
• You have experience with Python or Java/ Scala and experience working on large distributed systems and frameworks like Spark/ Flink with high uptimes (4x9's uptime etc.).
• You are passionate about event-driven architecture, microservices , data reliability, observability, and data privacy.
• Proven experience working with rapid product development in an agile environment is preferred
• You are pragmatic without compromising on software quality and standards.

Additional information:

• Work with some of the most dynamic US tech companies, building and iterating on new features and platforms.
• Long-term projects with real technical challenges.
• Fully remote work with flexible hours.
• Collaboration flexibility: We work with B2B (PFA/SRL) contracts.
• 30 paid days off per year.
• We provide equipment as needed (laptop, desktop, etc.).
• Continuous learning: We sponsor career-improving courses, seminars, and certifications.
• Opportunity for annual business visits to the US, depending on project needs.