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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