Senior Data Engineer

Job Description

Coursera is seeking a Senior Data Engineer to join their Data Engineering team. The ideal candidate will be passionate about architecting high-quality and scalable data pipelines that power business-critical applications. This role involves working with cutting-edge technologies and collaborating with a team of bright individuals to bring the best learning to every corner of the world.Coursera is committed to building a globally diverse team and offers flexibility in workspace choices, allowing employees to work from home, offices, hubs, or co-working spaces.Responsibilities:

• Architect scalable data models and construct high-quality ETL pipelines.
• Design, build, and launch self-serve analytics products.
• Provide technical leadership for the team.
• Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data.
• Develop new tools and frameworks in collaboration with other engineers.
• Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches.

Requirements:

• 5+ years of experience in data engineering with expertise in data architecture and pipelines.
• Strong programming skills in Python.
• Proficient with relational databases, data modeling, and SQL.
• Experience with big data technologies (e.g., Hive, Spark, Presto).
• Familiarity with batch and streaming architectures preferred.
• Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary.
• Knowledgeable on data governance and compliance best practices.
• Ability to communicate technical concepts clearly and concisely.
• Independence and passion for innovation and learning new technologies.

Coursera offers:

• A chance to work with cutting-edge technologies.
• Opportunity to make a significant impact on the world through education.
• Flexible work arrangements.