Senior Data Platform Engineer - Python/SQL

4-6 Years

Save

Early Applicant

Job Description

Description

4 to 6+ years of experience in data engineering, data platform, or similar roles.
Strong hands-on expertise with Databricks : Spark (PySpark / Scala), Delta Lake, job scheduling/workflows, data transformations.
Proficiency in Python, SQL, and strong understanding of distributed data processing, storage formats, metadata management.
Experience building/maintaining large-scale data pipelines (batch + streaming).
Familiarity with cloud platforms (e.g. AWS, Azure, GCP) : storage (S3/ADLS), compute, networking, permissions, and cloud-native data architecture.
Understanding of data governance, security, access controls, and data compliance considerations.
Ability to write clean, maintainable, well-documented code; follow best practices, testing, version control

Preferred / Nice-to-Have

Experience with data modeling (star schema, snowflake, dimensional modeling), data warehousing or lakehouse design.
Experience with django and django rest framework or similar api development frameworks.
Familiarity with data quality frameworks, observability, monitoring, lineage tracking.
Exposure to ML/AI pipelines, feature stores, real-time analytics, or streaming-first architectures.
Good communication skills, ability to work with cross-functional teams, mentor others, and handle high-ownership tasks.

(ref:hirist.tech)