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Tier-1 brand, mid-level experience band, and metro location increase candidate competition.
Core data engineering skills transfer across industries, though financial services domain knowledge moderately matters.
Explicit 5-8 years plus specific tech stack (Iceberg, Starburst, PySpark, Oracle) makes filters stringent.
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Participate in designing, developing, and maintaining application systems and data solutions, including data lakehouse environments using Apache Iceberg, Oracle, and Starburst (Trino).
Develop and optimize data ingestion, transformation, and curation processes using PySpark and ETL/ELT pipelines supporting analytics and machine learning initiatives.
Serve as a subject matter expert advising stakeholders, ensuring compliance and data security, and resolving technical issues independently.
5-8 years of relevant experience in Applications Development within the Financial Services industry.
Bachelor's degree or equivalent experience.
Technical skills required: experience with Apache Iceberg, Oracle databases, Starburst (Trino), PySpark, and ETL/ELT processes.
Ability to communicate clearly and manage problem-solving and decision-making under pressure.
Experienced in modern data architectures combining enterprise databases and open table formats in big data contexts.
Able to independently manage complex application and database development projects with limited supervision.
Skilled at collaborating with data architects, scientists, and business intelligence teams to translate business needs into technical data models and scalable solutions.