About the position
A company that runs a privacy-preserving data collaboration platform is seeking a AI Developer who will replatform legacy T-SQL systems onto modern Spark/Delta Lake pipelines, build robust FastAPI services around them, and integrate AI features.
Responsibilities:
- Data Engineering: Replatform T-SQL into Spark SQL and build production PySpark pipelines on Delta Lake.
- API Development: Build secure, idempotent FastAPI services with robust job-status semantics and authentication.
- Quality & Validation: Write type-hinted, tested Python (pytest) with CI gates; validate migrated pipelines against legacy systems with parity evidence.
- Spec-First Delivery: Work autonomously from design docs and ADRs, keeping documentation current alongside code changes.
Minimum Requirements:
- Experience: 4+ years in professional Python development, with 2+ years building production Spark/distributed data pipelines.
- Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- Certifications: Databricks Certified Developer for Apache Spark (or equivalent) is advantageous.
- Python (3.12+): Modern idiomatic Python, strict static analysis (mypy/pyright), Pydantic, ABC patterns, modern packaging (uv/Poetry), and CLI tooling.
- Apache Spark / PySpark: Production OSS Spark experience (DataFrame API, Spark SQL, tuning, driver/executor architecture, Spark Connect).
- Lakehouse Formats: Delta Lake (or Iceberg/Hudi) including MERGE INTO, schema evolution, time travel, and idempotent writes.
- SQL: Advanced, dialect-portable SQL skills to translate complex legacy T-SQL logic into Spark SQL.
- Testing & CI/CD: Pytest (fixtures, tiered suites), Git/GitHub flow, PR-driven workflows with linting (ruff) and type-check gates.
- APIs & Containers: FastAPI development and daily development using Docker Compose stacks.
- Preferred Skills
- AI/LLM Engineering: Provider-neutral LLM integration, structured output validation, local/hosted inference, and guard-railing.
- Governance & Security: PII tokenization, hashing schemes, and data privacy awareness (POPIA/GDPR).
- Cloud & Platform: Azure data estate (ADLS Gen2, Key Vault), Trino, Hive Metastore, and OpenTelemetry observability.
Benefits:
Competitive salary based on experience (salary can potentially be more based on experience/skills)
IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [Email Address Removed].com
Desired Skills:
- Python/Spark/AI Developer
- Python/Spark/AI Developer
- Python/Spark/AI Developer
