Leader, Data Engineering

<ul>
<li>Design, build, and maintain scalable data pipelines and ETL processes</li>
<li>Develop and optimize data models, data marts, and curated datasets</li>
<li>Perform data ingestion, cleansing, and transformation from multiple sources</li>
<li>Ensure data quality, integrity, and consistency across systems</li>
<li>Implement data architecture best practices and standards</li>
<li>Collaborate with cross-functional teams to understand business requirements</li>
<li>Apply CI/CD practices within data environments</li>
<li>Support data security initiatives (e.g., RLS, data masking, encryption)</li>
<li>Monitor and troubleshoot data workflows and performance issues</li>
<li>Contribute to continuous improvement of data platforms and processes</li>
</ul><h2>Requirements</h2><ul>
<li>6+ years of experience in data engineering or related roles</li>
<li>Strong experience with ETL, data pipelines, and data modeling</li>
<li>Hands-on experience with modern data platforms such as: Databricks, Snowflake, Cloudera, Microsoft Fabric, Teradata, or similar</li>
<li>Experience with data ingestion tools (e.g., Kafka, NiFi, Airflow, Informatica)</li>
<li>Proficiency in SQL and working with relational &amp; NoSQL databases</li>
<li>Good understanding of data architecture and data warehousing concepts</li>
<li>Experience with data security practices (RLS, masking, encryption)</li>
<li>Familiarity with CI/CD in data environments</li>
<li>Experience with visualization tools (Power BI, Tableau, Qlik) is a plus</li>
<li>Banking or payments industry experience is a strong advantage</li>
</ul>