About the role
AI summarisedThe role is for a Data Engineer at AVP/Manager level in a banking environment. The responsibilities involve designing, building, and maintaining data pipelines and infrastructure to support data-driven initiatives. Requirements include experience in data engineering, proficiency in relevant tools and technologies, and strong problem-solving skills.
BusinessFull-timeGeneral
Key Responsibilities
- Design, build, and maintain scalable data pipelines and ETL processes.
- Develop and optimize data models and data warehouses.
- Ensure data quality, integrity, and security across data systems.
- Collaborate with data scientists and analysts to support data needs.
- Monitor and troubleshoot data pipeline performance and reliability.
- Implement data governance and compliance best practices.
- Document data architecture and processes.
- Stay updated with emerging data technologies and tools.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of experience in data engineering or related role.
- Proficiency in SQL and Python.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Hands-on experience with ETL tools like Apache Spark, Airflow, or similar.
- Knowledge of data warehousing concepts and dimensional modeling.
- Experience with big data technologies such as Hadoop, Spark, or Kafka.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience in the banking or financial services industry is a plus.