Senior Data Engineer (Brazil and Argentina Only)

Niche is the leader in school search, dedicated to making the process of researching and enrolling in schools easy and transparent. They are looking for a skilled Senior Data Engineer to join the Data Engineering team, focusing on building and supporting data pipelines while ensuring data accuracy and performance. The role involves developing and maintaining data warehouse tables and leading workstreams to enhance the company's data platform.

Responsibilities:

• Learn about Niche by meeting with various team members to learn more about our company through our Onboarding meetings
• Immerse yourself in the company culture, and get to know your team and key stakeholders
• Build relationships with data engineering team members, understand the day to day operating model, and stakeholders that we interact with on a daily basis
• Start to learn about our data platform infrastructure, data pipelines, source systems, and inter-dependencies
• Start participating in standups, planning, and retrospective meetings
• Participate in periodic data engineering activities, e.g. monthly insights reporting, profile data updates, etc
• Start delivering on assigned data engineering tasks to support our day to day, and roadmap
• Start troubleshooting production issues, and participating in on-call activities
• Identify several areas for improving data engineering processes, and share with the team
• Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers
• Independently own and lead workstreams whether it is periodic data engineering activities, or work items in support of our roadmap
• Deepen your understanding, and build subject matter expertise of our data & ecosystem
• Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth
• You’ve established yourself as a key team member with subject matter expertise within data engineering

Requirements:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field
• 6+ years of experience in data engineering
• Demonstrated experience of building, and supporting large scale data pipelines - streaming and batch processing
• Software engineering mindset, leading with the principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability
• Proficiency in Python, SQL, Snowflake, Postgres, DBT, Airflow, Docker, Kubernetes, Kafka
• Experience of working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus
• Knowledge and understanding of the modern data platform, and its key components - ingestion, transformation, curation, quality, governance, and delivery
• Knowledge of data modeling techniques (3NF, Dimensional, Vault)
• Self-starter, analytical problem solver, highly attentive to detail, effective communicator, and obsessed with good documentation
• Familiarity with Agile product management principles will be a plus