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Tier-1 brand, metro location, popular Data Engineer title, mid experience band, and broad required skillset increase competition.
Core data engineering skills transfer across industries, though financial domain and Snowflake experience are preferred.
Mandatory Snowflake, ETL tools, SQL/Python and director-level expectations increase hiring filter strictness.
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Design, develop, and manage scalable data warehouse solutions and data pipelines using Snowflake, Talend, and Informatica.
Migrate relational data stores to cloud data stores (Snowflake) and optimize data workflows and integrity.
Support data model development, integrate data governance and AI/ML tools, and optimize Snowflake environment performance.
At least 4 years of relevant work experience in data engineering roles.
Experience with Snowflake data store, including Snowflake REST API.
Proficiency in ETL tools such as Informatica and Talend, SQL, and Python scripting for large dataset analysis and automation.
Strong background in data modelling and schema design for both relational and cloud data stores.
Experienced in designing and optimizing cloud-based data environments within financial or complex enterprise technology settings.
Competent in building end-to-end automated data pipelines and integrating machine learning models into data ecosystems.
Skilled at working in distributed, cross-functional teams with effective communication across IT and business stakeholders.