About
Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
Hands-on experience with release management, deployment, and version control practices.
Solid understanding of banking and financial services industry data and compliance requirements.
Proficiency in Python scripting and Pyspark for data processing and automation.
Experience with ETL/ELT processes and tools.
Knowledge of data governance, security, and privacy standards.
Excellent problem-solving and analytical skills.
Strong communication and collaboration abilities.
Preferred Qualifications:
Good Knowledge in Azure and Databricks in highly preferred.
Knowledge of Apache Kafka or other streaming technologies.
Familiarity with DevOps practices and CI/CD pipelines. Prior experience working in the banking or financial services industry.
Languages
- English
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