Summary :

Join our team as a Data Engineer to design and build scalable data pipelines, ensuring data integrity and accessibility for banking operations and analytics. This role is crucial for supporting data-driven decision-making within the financial sector.

Key Responsibilities :

- Design, build, and maintain robust ETL processes for data extraction, transformation, and loading.

- Work with large datasets and cloud-based solutions to ensure data availability and reliability.

- Collaborate with data scientists and business analysts to understand data requirements and provide data solutions.

- Ensure compliance with data security standards and regulatory requirements.

- Optimize data pipelines for performance, scalability, and cost-efficiency.

- Troubleshoot and resolve data-related issues, ensuring data quality and integrity.

Qualifications / Requirements :

- Minimum of 5 years of experience in data engineering.

- Strong proficiency in SQL and experience with relational databases.

- Proficiency in Python or Scala for data processing and pipeline development.

- Experience with big data tools and technologies.

- Experience with cloud platforms such as AWS, Azure, or GCP.

- Bachelor's degree in Computer Science, Information Technology, or a related field.

Preferred Skills / Attributes :

- Experience with data warehousing and data modeling.

- Familiarity with data governance and data quality tools.

- Experience with data streaming technologies (e.g., Kafka, Spark Streaming).

- Excellent communication and collaboration skills.

- Experience with financial data and banking operations.