Data Engineer (Major Bank)

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL processes to collect, process, and transfer data from various sources.
• Manage and optimize our databases to ensure efficient data storage, retrieval, and security.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights.
• Implement data quality checks and monitoring to ensure accuracy and integrity of data.
• Maintain comprehensive documentation of data architecture, pipelines, and processes.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.

• 3+ years of experience in data engineering or similar roles, preferably in the banking or financial sector.

  • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
  • Familiarity with data warehousing solutions (e.g., AWS Redshift, Google BigQuery).
  • Experience with ETL tools (e.g., Apache NiFi, Talend, Informatica).
  • Knowledge of programming languages (e.g., Python, Java, Scala) for data manipulation and transformation.
  • Experience with data processing frameworks (e.g., Apache Spark, Apache Kafka).