Senior Data Engineer

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

📋 Description

• Design and construct ETL/ELT data pipelines to acquire, process, and transform extensive datasets from various sources.

• Apply best practices for performance enhancement, partitioning, and clustering to improve data queries and minimize expenses.

• Establish and uphold data quality benchmarks, data governance frameworks, and security policies for data storage and access.

• Develop and refine data models and schemas to meet analytics, reporting, and machine learning needs.

• Collaborate with data scientists and analysts to create data solutions that integrate with BI tools and machine learning models.

• Produce thorough documentation for data pipelines, workflows, and processes.

• Share expertise and mentor junior data engineers.

⛳️ Requirements

• Over 5 years of relevant professional experience.

• Expertise in Python, particularly in relation to ETL pipelines.

• Strong command of SQL and experience in crafting complex queries.

• Familiarity with pySpark, DBT, or other comparable frameworks.

• Experience in deploying data pipelines within a cloud environment (Azure, AWS, GCP).

• Knowledge of data warehousing principles, dimensional modeling, and the creation of data marts.

• Excellent communication and interpersonal abilities, with a capacity to collaborate effectively with data scientists, analysts, and product stakeholders.

🏝️ Benefits

• Medical, dental, and vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources, based on eligibility.