Full-Time Senior Data Engineer (Python)

Build, optimize, and maintain ETL pipelines

Modify existing application code or interfaces, or develop new components

Analyze requirements, participate in design, and handle coding, testing, debugging, deployment, and maintenance

Develop and implement databases, data collection systems, and data analysis strategies for better efficiency and quality

Conduct code and design reviews to maintain a high-quality product

Mentor and guide Junior colleagues and new team members

Collaborate with other Data Engineers and Product Managers to prioritize business needs

Share technical insights with the wider engineering teams

3+ years of hands-on experience in software development and/or Big Data

Excellent knowledge of Python

Proficiency in PySpark and strong understanding of Spark

Experience in building and maintaining Data Lakes or Data Warehouses (preferably Snowflake)

Strong understanding of ETL frameworks (e.g., dbt)

Good knowledge of AWS (IAM, S3, and Security Groups)

Familiarity with Infra-as-Code (Terraform or similar)

Great communication skills: able to articulate status updates, blockers, and design considerations

Strong problem-solving mindset and willingness to take initiative

Ability to communicate clearly and produce concise technical documentation

Collaborative attitude and willingness to mentor others

Willingness to learn and adopt new data technologies

What is the last date for applying to the job?

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