Our Client, a multinational telecommunications technology company has an urgent and immediate need for a Data Engineer with strong proficiency in Python and hands-on experience working with Palantir platforms (Foundry, Gotham, or relevant Palantir tools).

The selected engineer will design, build, and optimize data pipelines, support scalable analytics solutions, and ensure reliable data integration within complex environments.

Responsibilities:

- Build, deploy, and manage scalable ETL/ELT pipelines (batch and streaming).
- Schedule/orchestrate workflows via Airflow, Palantir Pipeline Builder, or similar.
- Design efficient schemas, indexing strategies, and optimizing queries.
- Data quality, validation, profiling, and error handling.

If you would like to learn more, please reach out to Elite Technical

Required Skills

Technical Skills:

- Python Programming
- Advanced knowledge of Python for data processing, ETL development, and automation.
- Experience with popular libraries: pandas, numpy, pySpark.
- Ability to write clean, efficient, and modular code following best practices.
- Palantir Platforms
- Practical experience on Palantir Foundry or Gotham (pipelines, data lineage, data modeling).
- Development, management, and optimization of pipelines and data assets in Palantir environments.
- Familiarity with Palantir's ontology, tools for data transformation, and logic building blocks.
- Integration of external data sources with Palantir, leveraging APIs and connectors.
- Data Engineering & ETL
- Databases and Data Modeling
- Proficient in SQL; able to work with relational (e.g. PostgreSQL, MySQL) and NoSQL (e.g. MongoDB) databases.
- Understanding data warehousing concepts
- Cloud & Big Data
- Experience with cloud platforms (AWS, Azure, GCP) and distributed data technologies (e.g. Spark, Hadoop).
- Familiarity with scalable storage solutions (S3, Blob storage, HDFS).