Description

Key Responsibilities:

  • Collaborate with the team to define and implement high-level technical architecture for backend services and data monetization components. 
     
  • Design, develop, and enhance features in scalable data applications and services. 
     
  • Develop technical documentation, data flow diagrams, and architectural designs. 
     
  • Partner with QA, DevOps, Data Engineering, and Product teams for deployment, testing, training, and production support. 
     
  • Build and maintain robust integrations with enterprise data platforms and tools (e.g., Databricks, Kafka). 
     
  • Write clean, efficient, and testable Python and PySpark code. 
     
  • Ensure compliance with development, coding, security, and privacy standards. 
     
  • Proactively learn and adapt to new technologies based on evolving business needs. 
     
  • Mentor junior developers and contribute to establishing best practices. 

     

Qualifications:
 

  • 5+ years of hands-on Python development experience, specifically in data-intensive environments. 
     
  • Strong expertise in Apache Spark and PySpark for distributed data processing. 
     
  • Proficient in SQL, query optimization, and working with relational databases (e.g., Oracle, SparkSQL). 
     
  • Solid understanding of software development lifecycle (SDLC) and agile methodologies. 
     
  • Proven experience in writing unit, integration, and performance tests for data pipelines. 
     
  • Hands-on experience with Databricks and large-scale data environments. 
     
  • Deep understanding of data pipelines, including data engineering workflows, data lineage, transformation, and quality frameworks. 
     
  • Familiarity with AWS (or other cloud providers) for deploying and managing data infrastructure. 
     
  • Excellent communication skills and a strong sense of ownership and accountability. 

     


 


 

Good to have Skills:

  • Experience in foreign exchange (FX) or capital markets is highly desirable. 
     
  • Knowledge of modern data serialization formats (e.g., AVRO, Parquet). 
     
  • Experience with Apache Kafka and real-time data streaming. 
     
  • Familiarity with Apache Airflow or other orchestration tools. 
     
  • Comfort working in Linux environments and scripting. 
     
  • Exposure to data governance, compliance, and data security best practices

Key Skills
Education

Bachelor's degree

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