Data Engineer

The Data & Analytics team is looking for an early talent / professional with experience in data engineering and, preferably, machine learning. The Data Engineer will create and deploy scalable and distributed ETL/ELT data pipelines using data sources like MySQL, Postgres, flat files and data sinks like Snowflake, S3 and Graph databases like Neo4J. Knowledge and experience in open table formats like Iceberg is a big plus.

Build sophisticated ETL/ELT data engineering pipelines using pandas, Flink, Spark or equivalent parallel computing frameworks in Java or Python.

Clear understanding of parallel processing and ability to transform and sink data to SQL, Graph DBs and Object Storage systems like HDFS or S3.

Create useful and practical insights from existing and new models and present them using relevant graphs, visuals and dashboards.

Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.

3–5+ years in technology roles, with experience in data engineering and strong SQL Skills.

Knowledge of LLMs and ability to use LLM-driven IDEs like Cursor and Claude to speed up delivery

Experience in working with Cloud-based architectures like AWS, Azure or GCP.

Ability to work in fast-moving cross-matrix environments with little guidance

Strong communication and critical thinking skills