About
Databricks ,
Python, ETL, DevOps . This role requires strong experience in cloud-based data platforms and advanced data engineering practices to support analytics and business intelligence initiatives.
Key Responsibilities
Architect and implement
data pipelines
using
Databricks
and
Delta Lake
for batch and streaming data.
Develop and maintain
ETL/ELT workflows
integrating diverse data sources into cloud data lakes and warehouses.
Implement
data governance , security, and compliance standards.
Automate workflows using
Python scripting
and CI/CD pipelines.
Troubleshoot and resolve issues in data ingestion, transformation, and storage.
Required Skills & Experience
8+ years
in data engineering or related roles.
Expert-level Python
programming for data processing and automation.
Hands-on experience with
Databricks
and
Delta Lake .
Strong knowledge of
Azure Data Factory ,
Data Lake , and
Synapse
(or equivalent cloud platforms).
Proficiency in
SQL
and performance tuning.
Familiarity with
DevOps practices , CI/CD, and infrastructure-as-code tools.
Experience with
data migration
and
cloud-native architectures .
Excellent problem-solving and communication skills
Languages
- English
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