Data Engineer

This is a fully remote position, open to applicants in India.

📋 Description

• Engage in the comprehensive data pipeline lifecycle, concentrating on the development of data lakes, data warehouses, and associated processes.

• Collaborate with senior team members on design and code evaluations.

• Produce clean code for the creation of data pipelines and necessary infrastructure as code.

• Work closely with internal teams to grasp requirements and effectively execute assigned duties.

• Oversee and troubleshoot performance, scalability, and security issues, implementing enhancements as required.

• Take part in the assessment of new technologies and tools that can enhance our system's performance.

• Collect technical and design requirements from both internal and external stakeholders.

• Communicate efficiently with both technical and non-technical team members to ensure project alignment and successful execution.

• Engage in cross-functional initiatives that foster a culture of data-driven decision-making and ongoing improvement.

• Participate in an on-call rotation.

⛳️ Requirements

• Requires 5 years of relevant experience in cloud-native data offerings and data lakes within a cloud setting.

• Proficient with relational databases (Postgres, SQL Server) and principles of data modeling.

• Extensive understanding of the complete data engineering process (design, development, deployment).

• Familiarity with release management processes and the deployment of data solutions via Infrastructure as Code (IaC).

• Proficient in SQL (SQL Server, Postgres) and Python.

• Recognize opportunities for process enhancements and efficiencies in solutions.

• Strong teamwork abilities with a problem-solving mindset and a willingness to explore various approaches.

• Excellent analytical and time management capabilities.

• Strong written and verbal communication skills, with proven experience in providing technical insights to both technical and non-technical stakeholders.

• Demonstrated ability to collaborate cross-functionally with engineering and product teams.

• Familiarity with legacy data warehouses and ETL pipelines.

• Knowledgeable in data architecture and data modeling for data warehousing and analytical objectives.

• Capable of participating in an on-call rotation.

🏝️ Benefits

• Remote-first work environment.

• Unlimited paid time off.

• 401(k) plan with employer matching.