Senior Data Engineer - Remote

Overview

The Senior Data Engineer is responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions, utilizing large datasets and advanced data technologies.

In Short

• Design, develop, and maintain data solutions for data generation and processing.
• Implement ETL processes to ensure data quality and migration.
• Collaborate with cross-functional teams to meet business data needs.
• Develop and maintain data models and documentation for data accuracy.
• Leverage cloud platforms, preferably AWS, for scalable data solutions.
• Identify and resolve complex data-related challenges.
• Participate in sprint planning and provide technical estimations.
• Explore new tools to improve ETL platform performance.
• Adhere to best practices for coding and testing.
• Ensure compliance with data protection regulations.

Requirements

• Master’s degree with 4-6 years or Bachelor’s degree with 6-8 years in Computer Science or related field.
• Hands-on experience with big data technologies like Databricks and Apache Spark.
• Proficiency in data analysis tools such as SQL.
• Strong problem-solving skills with large datasets.
• Knowledge of data governance frameworks and compliance requirements.
• Experience with ETL tools and Python/R is preferred.
• Professional certifications in AWS or Databricks are a plus.
• Excellent communication and collaboration skills.
• Demonstrated ability to function well in a team setting.
• Strong critical-thinking skills.

Benefits

• Opportunity to work on innovative biotechnology solutions.
• Collaborative and inclusive work environment.
• Access to professional development and training opportunities.
• Competitive salary and benefits package.
• Flexible work arrangements.