Mid Data Practitioner, Data – Analytics Engineering

Responsibilities

• Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery)
• Build and maintain data components (event-driven ingestion, transformations, APIs, catalogs)
• Write SQL-first transformations and Python for orchestration/API logic
• Implement data quality in the pipeline for validation, monitoring, and alerting systems at scale
• Optimize data models for performance, cost, and reliability across datasets
• Collaborate with Junior/Intern team members

Requirements

• 2 to 4 years of experience in data engineering/analytics
• Strong SQL skills (complex joins, aggregations, incremental patterns)
• Proficiency in Python for services/pipelines
• Comfortable with Git, PR reviews, pytest
• Strong collaboration skills with other teams