Experience: 6+ years in Data Engineering, with at least 3–4 years of hands-on technical leadership experience leading engineering pods.
Core Databricks & Spark: Advanced proficiency in PySpark and Databricks SQL.
Ingestion Expertise: Proven experience building custom or highly configurable data ingestion frameworks for structured and unstructured data.
Cloud Platforms: Solid experience working with AWS, Azure, or GCP cloud-native services (e.g., S3, ADLS).
Engineering Standards: Deep understanding of data modeling (star/snowflake schemas), SCD (Slowly Changing Dimensions), and software engineering principles in a data context.
Soft Skills: Excellent stakeholder management and the ability to translate complex technical architectures into business value.

Preferred Qualifications
Experience with Kafka, dbt, or Delta Live Tables (DLT).
Databricks Certified Data Engineer Associate/Qualified credentials
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📌 Databricks Tech Lead Sydney
🏢 Nityo Infotech
📍 Sydney