Data Engineer

Capital Alliance (CAL)On-siteFull-timeJunior, 1–2 yearsListed 2 weeks ago

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About this role

We're looking for a Data Engineer to build and optimize scalable data pipelines and cloud data platforms that power real-time analytics and decision-making. If you're passionate about modern data engineering, we'd love to hear from you.

What You'll Do

- Build and optimize batch and incremental ETL/ELT pipelines

- Design medallion (bronze/silver/gold) data layers with CDC and SCD

- Monitor and troubleshoot production pipelines, and cut compute and storage costs

- Deliver high-quality, well-modeled datasets for analytics and data science teams

- Document your work, review code and collaborate in an Agile team

Candidate Profile

- Degree in Computer Science, IT, Big Data or a related field

- 1–2+ years on big data, on-prem or cloud data platforms

- Snowflake (preferred), Hadoop (HDFS) or AWS (S3)

- Python or Java; PySpark, Spark SQL or Snowpark

- Strong SQL (MySQL, SQL Server or Oracle)

- Airflow (preferred), Oozie or Informatica; Git