Sineor Data Engineer, SQL

Design, develop, and manage scalable and secure data pipelines

using Databricks and PySpark.

Architect and implement cloud-based data solutions, integrating

structured and unstructured data sources.

Write clean, efficient, and reusable code primarily in Python for

cloud automation, data processing, and orchestration.

Build and optimize ETL workflows and ensure seamless data

integration across platforms.

Develop data models using normalization and denormalization

techniques to support OLTP and OLAP systems.

Troubleshoot performance bottlenecks in data flows and ETL

processes.

Integrate advanced analytics and support BI use cases within the

Cloud ecosystem.

Lead code reviews and ensure adherence to version control

practices (e.g., Git).

Contribute to the design and deployment of enterprise-level data

warehousing solutions.

Stay current with Cloud technologies and Python ecosystem

updates to adopt best practices and emerging tools.

Mandatory skill sets:

Strong SQL skills (Must-Have)

Databricks (Must-Have)

Python programming (Must-Have)

Spark (Must-Have)

Data modeling (Normalization & Denormalization)

Data warehousing and BI tools integration

Git (Version Control)

Building scalable ETL pipelines