Role Summary & Role Description:
This is an exciting opportunity for somebody to join a cutting-edge technology team with a product that is experiencing rapid growth. We offer competitive compensation package and flexible work hour.
As a Data Development Engineer for Data Initiative at Global Link, the ideal candidate will:
- Work with the team to define high-level technical requirements and architecture for the back-end services , Data components, data monetization components
- Develop new application features and enhance existing ones
- Develop relevant documentation and diagrams.
- Work with other teams for deployment, testing, training, and production support.
- Integration with Data Engineering teams
- Ensure that development, coding, privacy, and security standards are adhered to
- Write clean and quality code.
- Ready to work on new technologies as business demands
- Strong communication skills and work ethics.
Core/Must have skills:
- Out of total 14+ years of experience, minimum 5+ years of professional experience in Python development, with a focus on data-intensive applications.
- Proven experience with Apache Spark and PySpark for large-scale data processing.
- Solid understanding of SQL and experience working with relational databases (e.g., Oracle, sparkSQL) and query optimization.
- Experience in SDLC, particularly in applying software development best practices and methodologies.
- Experience in creating and maintaining unit tests, integration tests, and performance testing for data pipelines and systems.
- Experience with big data platform Databricks.
- Experience in building data intensive applications, data products and good understanding of data pipeline (Feature Data Engineering ,Data Transformation, Data Lineage, Data Quality)
- Experience with cloud platforms such as AWS for data infrastructure and services is preferred.
- This is a hands-on developer positions within a small elite development team that moves very fast
- Role will evolve as tech leadership for Data Initiative
Good to have skills:
- Knowledge of FX business / capital market domain is a plus
- Knowledge of data formats like AVRO, Parquet, and working with complex data types.
- Experience with Apache Kafka for real-time data streaming and Kafka Streams for processing data streams.
- Experience with Airflow for orchestrating complex data workflows and pipelines.
- Expertise or interest in Linux
- Exposure to data governance and security best practices in data management.
Work Schedule: Hybrid
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