Data Engineer - FinTech, Fintech

Overview

We are seeking a highly skilled Data Engineer to join our FinTech ADA team, responsible for building and optimizing scalable data pipelines and platforms that power analytics, automation, and decision-making across Finance and Accounting domains. The ideal candidate will have strong expertise in AWS cloud technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM, along with hands-on experience designing secure, efficient, and resilient data architectures. You will work with large-scale structured and unstructured datasets, leveraging both relational and non-relational data stores (object storage, key-value/document databases, graph, and column-family stores) to deliver reliable, high-performance data solutions. This role requires strong problem-solving skills, attention to detail, and the ability to collaborate with cross-functional teams to translate business needs into technical data solutions.

Responsibilities

• Build and optimize scalable data pipelines and platforms that support analytics, automation, and decision-making across Finance and Accounting.
• Design secure, efficient, and resilient data architectures using AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, IAM).
• Work with large-scale structured and unstructured datasets, leveraging relational and non-relational data stores to deliver high-performance data solutions.
• Collaborate with cross-functional teams to translate business needs into technical data solutions.
• Contribute to data platform sourcing, merging, and transforming financial datasets to extract business insights and support financial close processes.

Qualifications

• 5+ years of experience as a Data Engineer or in a similar role.
• Experience with data modeling, data warehousing, and building ETL pipelines.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field.
• Extensive experience with AWS, including Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc.
• Experience with Python/Java/Scala or similar languages.
• Experience maintaining data warehouse systems and large-scale data transformations using EMR, Hadoop, Hive, or other Big Data technologies.
• Experience mentoring and managing other Data Engineers, ensuring data engineering best practices are followed.
• Experience with hardware provisioning, forecasting hardware usage, and budgeting.
• Exposure to large databases, BI applications, data quality, and performance tuning.

Basic Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and ETL pipelines.
• Experience with SQL.

Preferred Qualifications

• 5+ years of data engineering experience.
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).

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Posted: September 10, 2025 (Updated 12 days ago)

Posted: August 11, 2025 (Updated about 1 month ago)

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