Job Description

Qualifications

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.

2–5+ years of experience in data engineering.

Strong hands-on skills with:

AWS: S3, Glue, Lambda, IAM, Step Functions, Kinesis/MSK

Databricks: PySpark, Spark SQL, Delta Lake, Workflows

Python & SQL

Spark

Solid understanding of data modeling (relational, dimensional, domain-driven).

Experience working in large-scale, distributed data environments.

Preferred

Experience in banking or financial services (core banking, payments, lending, regulatory reporting).

Familiarity with:

Unity Catalog

Streaming architectures

Terraform or AWS CDK

Data quality frameworks (Great Expectations, Deequ, Databricks expectations)

Experience working in regulated environments with strict compliance and security controls.

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