JOB DESCRIPTION:

Setup transfers of data feeds from source systems into desired locations.
Debug issues related to delayed or missing data feeds.
Write transformations and derive new datasets using Spark for distributed computation.
Monitor build progress and debug build problems.

Rapid development and iteration cycles with SME’s including:

• Testing
• Troubleshooting

Executing requests for information (RFI’s) surrounding the platform’s data footprint.
Iterate with product teams while debugging / understanding the code backing our core platform.

QUALIFICATIONS:

Strong engineering background, preferably in fields such as:

• Computer Science, Mathematics, Software Engineering, Physics, or Data Science.

Proficiency with programming languages in Python (Pyspark, Pandas) SQL, R or similar languages.
Strong understanding of algorithms and data structures as they pertain to development / problem solving
Ability to work effectively in teams of technical and non-technical individuals.
Skill and comfort working in a changing environment with dynamic objectives and iteration with users.
Demonstrated ability to continuously learn, work independently, and make decisions.

Proven track-record of strong customer communications including:

• Feedback gathering
• Execution updates
• Troubleshooting

Please refer the Job description for details