The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making in the company.
We’re looking for Data Engineers to build and maintain a large scale 24×7 global infrastructure system that powers a 3-sided marketplace of Consumers, Merchants and Dashers. The Technology Stack used for these roles is Snowflake, Airflow, Python, AWS, Git, Jira.
Responsibilities and Tasks:
● Work with business partners and stakeholders to understand data requirements.
● Work with engineering, product teams and 3rd parties to collect required data.
● Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse.
● Develop and implement data quality checks, conduct QA and implement monitoring routines.
● Improve the reliability and scalability of our ETL processes.
● Manage a portfolio of data products that deliver high-quality, trustworthy data.
● Help onboard and support other engineers as they join the team.
Hard Skills / Need to Have:
● 5+ years of professional experience working in data engineering, business intelligence, or a similar role.
● Proficiency in programming languages such as Python.
● 3+ years of experience in ETL orchestration and workflow management tools like Airflow, using AWS.
● Expert in Database fundamentals, SQL and distributed computing.
● 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
● Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms.
Perks:
● Referral bonus.
● Tuition Reimbursement.
● English lessons with native teacher.
● Home office + optional coworking space.
● 2 days off per year.
● 3 sabbatical weeks every 3 years in the company,
● 3 weeks vacation.
● Birthday gift.
● Computer and 400 USD home office budget per year.
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