MongoDB Management

• Integrate, query, and manage data within MongoDB.
• Ensure efficient storage and retrieval processes tailored to application requirements.
• Optimize MongoDB performance for large-scale data handling.
• Collaboration and Problem Solving:
• Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions.
• Proactively identify and address technical challenges related to data processing and system design.

Required Qualifications

• Proven experience working with Databricks and Spark compute.
• Proficient in Python, including object-oriented programming and API development.
• Familiarity with NoSQL (MongoDB preferred), including querying, data modeling, and optimization.
• Strong problem-solving skills and ability to debug and optimize data processing tasks.
• Experience with large-scale data processing and distributed systems.

Preferred Qualifications

• Strong understanding of data architecture, ETL processes, and data warehousing concepts.
• Knowledge of other big data technologies like Delta Lake, Hadoop, or Kafka.
• Experience with cloud platforms (e.g., AWS, Azure, or GCP).
• Familiarity with CI/CD pipelines and version control systems like Git.

Our values This is what you can expect of your teammates at Flagler:

• Persistence + ownership of outcomes: We wear many hats and aren’t afraid to run through walls to solve hard problems.
• Personal + professional growth: We push ourselves to learn new things and embrace challenges, even if it means that we sometimes fail.
• Don’t take things personally: We value and react quickly to constructive feedback.
• Speed is our ally: In the fast-paced world of startups, we understand the value of moving swiftly. We thrive on the adrenaline of working rapidly.
• Be Right: We are highly detailed oriented and try to be right, a lot.

Compensation Range: CA$150K - CA$200K