Data Developer
Job Description
- Process large and complex financial data from banks, payment gateways, and processors
- Build and maintain data pipelines with business rules and financial calculations
- Design event-driven systems to meet strict timelines for transactions and settlements
- Prepare data for reports, analytics, AI insights, fraud detection, and payment optimization
Required Skills
- Strong Python skills with good understanding of OOPS
- Experience with big data tools like Spark (PySpark), Kafka, Flink, Hudi, or Iceberg
- Knowledge of cloud platforms: AWS, GCP, or Azure
- Understanding of data warehousing and data modeling
- Experience with ETL tools such as Apache Airflow
- Hands-on experience with data lakes and cloud storage (S3, GCS, Azure Blob)
- Good knowledge of Git for version control
- Ability to work on complex systems and solve challenging problems
Qualifications
- Bachelor’s degree in Computer Science / IT or equivalent experience
- 1–5 years of experience in Data Engineering, ETL, or Database Management
- Experience in cloud-based environments is preferred
- Proven ability to build and optimize high-performance systems
Key Skills
Python, Data Processing, Apache Spark, Kafka, ETL, Data Modeling, Git, Cloud Platforms, Performance Tuning