Analytics Engineer / DWH Engineer - Mid / Senior Level - Remote

Overview

Join the Analytics Engineering Team at Docplanner, where you will play a crucial role in enhancing data operations to improve healthcare experiences.

In Short

• Work as an Analytics Engineer focused on data modeling and DWH engineering.
• Collaborate with teams to ensure data integrity and governance.
• Build and automate data products in cooperation with analysts and engineers.
• Manage and improve the DWH data model and cluster.
• Design and enforce data layering for decision-making processes.
• Support analytics teams in building data models.
• Advocate for best practices in data engineering.
• Engage in training and workshops.
• Align data initiatives with business goals.
• Communicate proactively with stakeholders.

Requirements

• Experience in data warehousing and database administration.
• Proficient in SQL and Python with strong coding practices.
• Strong skills in data modeling techniques and BI.
• Project management experience with end-to-end project delivery.
• Excellent communication and interpersonal skills.
• Hands-on experience with data orchestrators like Airflow or Dagster.
• Familiarity with cloud technologies and ETL/ELT tools.
• Good English proficiency.
• Growth mindset and willingness to learn.
• Knowledge of Spark and Scala is a plus.

Benefits

• Remote or hybrid work model with flexible hours.
• 23 paid holidays plus additional paid holiday on your birthday or work anniversary.
• Private healthcare plan for you and subsidized for your family.
• Access to mental wellness support and gym memberships.
• Free English and Spanish classes.
• Share options plan after 6 months of employment.
• Flexible remuneration and benefits system.
• Summer intensive schedule during July and August.
• Work-life balance initiatives.
• Emphasis on diversity and equal opportunities.