About the role
structured by ORISalary: $0 - $72,000 per year Location : , US Employment option: Remote Job type: Full time Job Summary: Seeking a Data Engineer to design and build scalable data pipelines focused on large datasets and high-throughput data streams for a US-based FinTech client. Skills Must Have Hard skills: - novice in: Data Quality…
What you will do
- Design and build data pipelines (batch or streaming)
- process large volumes of data
- ensure data validation, deduplication, and consistency
- ingest data from files, cloud storage, or streams
- prepare data for analytics, make architectural decisions
What they are looking for
- novice in: Data Quality
- beginner in: Big Data, Data Pipelines
- competent in: ETL, Data Engineering, SQL, Pipeline, JAVA
- Strong Data Engineering experience
- SQL and database knowledge
- experience with ETL, batch or streaming processing
- programming skills in Java or similar
- pipeline design skills
- ability to explain architectural decisions
Nice to have
- novice in: GCP, AI, AWS, Cloud Platforms, Azure
- beginner in: FinTech, Kafka, Elasticsearch, Real-Time Processing, Cloud Storage, Redis, B2B
Benefits
- Work from home
Full posting text
Salary: $0 - $72,000 per year
Location : , US
Employment option: Remote
Job type: Full time
Job Summary:
Seeking a Data Engineer to design and build scalable data pipelines focused on large datasets and high-throughput data streams for a US-based FinTech client.
Skills
Must Have
Hard skills:
- novice in: Data Quality
- beginner in: Big Data, Data Pipelines
- competent in: ETL, Data Engineering, SQL, Pipeline, JAVA
Nice-to-have
Hard skills:
- novice in: GCP, AI, AWS, Cloud Platforms, Azure
- beginner in: FinTech, Kafka, Elasticsearch, Real-Time Processing, Cloud Storage, Redis, B2B
Job Description
Additional Requirements
Strong Data Engineering experience, SQL and database knowledge, experience with ETL, batch or streaming processing, programming skills in Java or similar, pipeline design skills, and ability to explain architectural decisions.
Responsibilities
Design and build data pipelines (batch or streaming), process large volumes of data, ensure data validation, deduplication, and consistency, ingest data from files, cloud storage, or streams, prepare data for analytics, make architectural decisions. Benefits
- Work from home
About Company
Company Overview
You will be part of an international engineering team focused on developing a modern, intelligent surveillance platform for financial institutions. The system processes high-frequency market data to identify irregular behavior and ensure regulatory compliance across jurisdictions.
This role offers exposure to complex engineering challenges, financial domain knowledge, and the opportunity to shape a next-generation platform from within a collaborative and technically strong team.
Originally posted on Himalayas