About Us
At TCBS we are redefining how financial services are delivered using technology to create smarter, faster, and more inclusive financial solutions. Data is at the core of everything we do, from personalized financial products to real-time fraud detection. We're looking for a Data Engineer with a passion for building scalable and secure data infrastructure to help power our next generation of fintech products.
Your Role
As a Data Engineer, you will work closely with data scientists, backend engineers, and product teams to build and optimize our end-to-end data platform. You'll be responsible for architecting and maintaining robust, scalable, and high-performance data pipelines and lakehouse infrastructure to support our analytics, risk models, and customer experiences.
Key Responsibilities
- Design and develop ETL/ELT pipelines for structured and unstructured financial data across internal and third-party systems.
- Develop and manage large-scale data infrastructure using: Apache Spark, Apache Kafka, Apache Flink, and HDFS
- Implement data lakehouse architecture using AWS services such as: S3, Glue, EMR, Athena, Kinesis, Redshift, and Lambda
- Collaborate with analytics, product, and engineering teams to deliver reliable and scalable data solutions for reporting and real-time applications.
- Collaborate with analytics, ML, and engineering teams to integrate data products into core financial systems.
- Monitor and improve the performance and reliability of pipelines and data services.
Required Qualifications
- 3+ years of experience as a Data Engineer or in a similar backend/data-focused engineering role.
- Proficient in Python, with working knowledge of Java or Scala.
- Solid understanding of distributed data processing and streaming architectures.
- Strong experience with big data tools (Spark, Kafka, Flink, Hive, etc.).
- Production experience with AWS data stack (S3, Glue, EMR, Kinesis, Redshift, Athena).
- Strong SQL skills and experience with data modeling and data warehousing concepts.
- Familiarity with CI/CD, Docker, Git, and automation in data workflows.
Nice to Have
- Experience with open data lakehouse formats: Apache Iceberg, Delta Lake, Apache Hudi
- Hands-on experience with Databricks or Snowflake
- Familiarity with data cataloging, data lineage, and governance tools (e.g., AWS Glue, Apache Atlas, Great Expectations).
- Fintech domain knowledge (payments, risk, lending, compliance) is a strong plus.
What You'll Get
- Competitive salary with performance-based bonuses.
- Opportunity to work on cutting-edge data architecture in a high-growth fintech environment.
- Ownership and influence in a data-driven organization.
- Learning budget and access to leading cloud and data tools.
