As a Senior Data Platform Engineer, you will:

• Be a part of a cross-functional team of data, backend, and DevOps engineers.
• Work closely with Data Scientists to understand needs and design for optimized data layout and infrastructure used in data ingestion for ML and analytics use-cases.
• Design and implement scalable data serving capabilities for various stakeholders within the company.
• Monitor and improve data pipelines to enforce high data quality.
• Experiment and learn various technologies in the domain of big data and high throughput computing.
• Drive for continuous innovation and improvement in Final’s data stack.

Requirements:

• At least 5 years of server-side development experience working in a high-scale environment.
• Proven understanding in designing, developing, and optimizing complex solutions that move and/or manipulate large volumes of data.
• Proficient in one or more general-purpose programming languages, including but not limited to C++, Java, .Net, Rust, Python.
• Python data analytics libraries experience (pandas, polars, etc.).
• Comfortable with learning new languages and technologies.
• Strong sense of ownership.
• Excellent problem-solving skills.
• BSc/MSc in Computer Science/Engineering.

Nice to have:

• Sound understanding of different big data file and table formats such as Parquet, Delta Lake, AVRO, Iceberg, HDF5.
• SQL experience.
• Hands-on experience with distributed query engines such as Spark and Hadoop.
• Experience with implementing open-source solutions on existing large-scale systems.
• Experience working on large-scale and complex on-premises systems.
• Familiarity with cloud data platforms (Databricks, AWS, Azure, etc.).
• Experience with data pipelining tools such as Airflow, Kubeflow, or similar.
• Experience with ML concepts and processes.