Senior Data Engineer
- Design, build, and maintain scalable data pipelines and ETL processes
- Develop and optimize data models, data marts, and curated datasets
- Perform data ingestion, cleansing, and transformation from multiple sources
- Ensure data quality, integrity, and consistency across systems
- Implement data architecture best practices and standards
- Collaborate with cross-functional teams to understand business requirements
- Apply CI/CD practices within data environments
- Support data security initiatives (e.g., RLS, data masking, encryption)
- Monitor and troubleshoot data workflows and performance issues
- Contribute to continuous improvement of data platforms and processes
Requirements
- Minimum 5+ years of experience in data engineering or related roles
- Strong experience with ETL, data pipelines, and data modeling
- Hands-on experience with modern data platforms such as: Databricks, Snowflake, Cloudera, Microsoft Fabric, Teradata, or similar
- Experience with data ingestion tools (e.g., Kafka, NiFi, Airflow, Informatica)
- Proficiency in SQL and working with relational & NoSQL databases
- Good understanding of data architecture and data warehousing concepts
- Experience with data security practices (RLS, masking, encryption)
- Familiarity with CI/CD in data environments
- Experience with visualization tools (Power BI, Tableau, Qlik) is a plus
- Banking or payments industry experience is a strong advantage