Data Engineer - FinTech, Fintech
Data Engineer - FinTech, Fintech
Posted on :
29-08-2025
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1 Vacancy
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Job Description
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.
Key job responsibilities
Scope -
Fintech is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing merging and transforming financial datasets to extract business insights improve controllership and support financial month-end close periods. As a contributor to a crucial project you will focus on building scalable data pipelines optimizations of existing pipelines and operation excellence.
Qualifications-
5 yrs experience as Data Engineer or in a similar role
Experience with data modeling data warehousing and building ETL pipelines
Bachelors degree in Computer Science Engineering Mathematics or a related field.
Extensive experience working with AWS with a strong understanding of Redshift EMR Athena Aurora DynamoDB Kinesis Lambda S3 EC2 etc.
Experience with coding languages like Python/Java/Scala
Experience in maintaining data warehouse systems and working on large scale data transformation using EMR Hadoop Hive or other Big Data technologies
Experience mentoring and managing other Data Engineers ensuring data engineering best practices are being followed
Experience with hardware provisioning forecasting hardware usage and managing to a budget.
Exposure to large databases BI applications data quality and performance tuning
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
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.
Key job responsibilities
Scope -
Fintech is seeking a Data Engineer to be part of Accounting and Data Analytics team. Our team builds and maintains data platform for sourcing merging and transforming financial datasets to extract business insights improve controllership and support financial month-end close periods. As a contributor to a crucial project you will focus on building scalable data pipelines optimizations of existing pipelines and operation excellence.
Qualifications-
5 yrs experience as Data Engineer or in a similar role
Experience with data modeling data warehousing and building ETL pipelines
Bachelors degree in Computer Science Engineering Mathematics or a related field.
Extensive experience working with AWS with a strong understanding of Redshift EMR Athena Aurora DynamoDB Kinesis Lambda S3 EC2 etc.
Experience with coding languages like Python/Java/Scala
Experience in maintaining data warehouse systems and working on large scale data transformation using EMR Hadoop Hive or other Big Data technologies
Experience mentoring and managing other Data Engineers ensuring data engineering best practices are being followed
Experience with hardware provisioning forecasting hardware usage and managing to a budget.
Exposure to large databases BI applications data quality and performance tuning
- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with SQL
- 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
Key Skills
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