We are seeking an experienced
Azure Data Engineer
to design, build, and operate scalable and secure data platforms on Microsoft Azure. The ideal candidate will have strong hands‑on experience with Azure data services, real‑time and batch data processing, cloud security, and CI/CD practices. This role involves working across the full data lifecycle including ingestion, processing, transformation, storage, visualization, and operations.
Required Technical Skills (Must‑Have)
5+ years
of experience as a Data Engineer using cloud PaaS platforms (Azure preferred)
Strong hands‑on experience with
Azure Data Factory (ADF)
,
Azure Databricks
,
Azure Stream Analytics
, and
Azure Storage
Experience with
Azure SQL Database
,
Azure SQL Data Warehouse (Synapse)
, OLTP, OLAP, and DW architectures
Design and implementation of
ETL / ELT
, streaming, and data transformation pipelines
Experience integrating
SSIS runtime
with Azure Data Factory and good understanding of
SSIS Catalog (SSISDB)
Experience with
Event‑driven architectures
using
Event Hub
,
Event Grid
, and
IoT Hub / IoT Edge
Strong proficiency in
SQL
and programming languages such as
Python
and
R
Hands‑on experience with
Power BI or Tableau
for data visualization
Familiarity with
CI/CD pipelines
and DevOps practices on Azure
Understanding of
Azure Networking, Virtual Machines, Containers, Storage, Load Balancing, and Auto‑scaling
Knowledge of
cloud security controls
, including encryption at rest/in transit, key management, tenant isolation, vulnerability assessments, and application firewalls
Experience identifying and mitigating
risks, assumptions, issues, and dependencies (RAIDs)
across the project lifecycle
Additional Technology Exposure (Preferred)
Experience with big data and streaming ecosystems such as: