Data engineer (Databricks)

Responsibilities
Design, develop, and maintain scalable
ETL/ELT pipelines
using
Databricks . Build and optimize data workflows using
Apache Spark
(PySpark/Scala). Implement data ingestion from multiple sources (APIs, databases, streaming platforms). Develop and manage
data lakes and lakehouse architectures . Work with cloud platforms such as
Amazon Web Services ,
Microsoft Azure , or
Google Cloud Platform . Optimize performance of queries and large-scale data processing jobs. Ensure data quality, governance, and security best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions. Implement CI/CD pipelines and version control for data engineering workflows. Qualifications
5+ years of experience in
data engineering or big data development . Strong hands‑on experience with
Databricks and Apache Spark (PySpark preferred) . Proficiency in
Python, SQL , and optionally
Scala . Experience with
...