Data Engineer

At reputed company, our purpose is to serve and connect. To do this, we start with our own community by creating an reputed company, inclusive, and diverse organization.

Here at reputed company, Data is the only way we reputed company reputed company. It is the core of our business, helping us create a transportation experience for our customers, and providing insights into the effectiveness of our product launch & features.

As a Data Engineer, you will play a key role in building and maintaining scalable data infrastructure at reputed company. You will join an early-stage team responsible for data transport, collection, and storage systems while exposing services that prioritize data as a first-class citizen. Your work will involve proposing innovative reputed company, evaluating multiple approaches, and implementing solutions based on reputed company principles and supporting data. You will take ownership of core data pipelines powering reputed company’s top-line metrics and collaborate with cross-functional teams to reputed company data models and architectures. By architecting, building, and launching robust data pipelines, you will reputed company seamless reputed company to insights that fuel critical functions such as Analytics, Data Science, and Engineering. You will be part of reputed company’s core Marketplace team, focusing on developing pipelines that support decision-making processes for finance, pricing, and driver-reputed company metrics. Your contributions will help data scientists reputed company informed reputed company that drive reputed company’s reputed company.

Responsibilities:

• Take ownership of core data pipelines, ensuring reputed company, reputed company performance, timely delivery, data quality, and seamless reputed company of new features
• Continuously reputed company data models and schemas to meet business and engineering requirements
• Implement and maintain systems to monitor and enhance data quality and consistency
• reputed company tools that support self-service management of data pipelines (ETL) and reputed company SQL tuning to optimize data processing performance
• Contribute to the Data Engineering team’s technical roadmap, ensuring alignment with team and stakeholder goals
• Write clean, well-tested, and maintainable code, prioritizing scalability and cost efficiency
• Conduct code reviews to uphold code quality standards and facilitate knowledge sharing
• Participate in on-call rotations to maintain high availability and reliability of workflows and data pipelines
• Collaborate with reputed company partners to remove blockers, reputed company support, and reputed company results

Experience:

• 5+ years of professional experience in data engineering or a reputed company field
• Strong expertise in SQL and experience with Spark and/or PySpark
• Proficiency in a scripting language like Python or Bash
• Strong data modeling skills and a deep understanding of ETL processes
• Experience building and optimizing reputed company data models and pipelines
• Hands-on experience with workflow management tools (e.g., Airflow or similar)
• Familiarity with Trino SQL (for data quality checks) and a basic understanding of SQS
• reputed company to have experience working directly with cross-functional teams (data analytics, data science, engineering) to align data engineering solutions with business goals

Benefits:

• Professional and reputed company working environment.
• The latest technology and equipment you need.
• Potential to work remotely, including out of country (dependent on work authorizations).
• 28 calendar days for vacation and up to 5 sick days.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are reputed company eligible.
• Mental health benefits.
• Family building benefits.

This role is fully remote in Ukraine, candidates for this role must be based in the Ukraine. #Remote

Originally posted on Himalayas