Senior Azure Databricks Engineer
11 hours ago
We're Hiring: Senior Databricks Engineer / Azure Data Engineer / Lead Data engineer
Location:
Baner, Pune (Onsite Only)
Work Mode:
Full-time | Office-based
Availability:
Immediate Joiners / Notice Period ≤ 15 Days
Note:
Only local Pune candidates may apply.
*
L2 interviews will be conducted
in person
— apply only if you are open to face-to-face interviews.
About Newscape Consulting
Newscape is a fast-growing digital services company specializing in healthcare technology and data engineering
. We help healthcare organizations modernize legacy systems, integrate cloud-native platforms, and drive digital transformation through data.
If you're passionate about
solving complex data challenges
and contributing to meaningful innovation in healthcare, this is the place for you.
Position Summary
We are looking for a Senior Databricks Engineer / Azure Data Engineer
who will be responsible for designing and implementing high-performance, scalable, and secure
data pipelines
using
Databricks, Spark, Delta Lake, and cloud platforms (Azure)
You'll collaborate with data architects, scientists, and business stakeholders to transform raw data into powerful insights that drive business impact.
Key Responsibilities
- Design, build, and maintain
scalable data pipelines
using
Databricks, PySpark, and Spark SQL
. - Work with Databricks components such as
Workspace, Jobs, Delta Live Tables (DLT), Repos, and Unity Catalog
. - Implement
Delta Lake
and
Lakehouse (Medallion) architectures
for optimized data storage and performance. - Integrate
CI/CD pipelines
using
Azure DevOps, GitHub Actions
, or equivalent tools for Databricks deployments. - Ensure
data quality, lineage, and governance
using
Unity Catalog
or
Azure Purview
. - Use
Airflow, Azure Data Factory, or Databricks Workflows
for scheduling and orchestration. - Apply strong
SQL, data modeling, and ETL/ELT
concepts in solution design. - Collaborate with cross-functional teams to
translate business requirements
into technical deliverables.
Required Skills & Qualifications
10+ years of experience in Data Engineering
, with a strong focus on
Databricks
.
Expertise in
PySpark
,
Spark SQL
, and optionally
Scala
.
Hands-on experience with
Databricks components
: Workspace, Jobs, DLT, Repos, Unity Catalog.
Strong understanding of
Delta Lake
and
Lakehouse architectures
.
Cloud proficiency in
Azure
(preferred),
AWS
, or
GCP
.
Experience in
CI/CD pipeline automation
for Databricks deployments.
Familiarity with orchestration tools (
ADF, Airflow, Databricks Workflows
).
Strong grasp of
data governance, metadata management, and lineage
.
Excellent
communication and stakeholder management
skills.
Preferred Qualifications (Bonus Points)
Experience in healthcare data systems
or regulated data environments.
Knowledge of
SQL Server, Synapse, or Power BI
integration.
Exposure to
event-driven architecture (Kafka, Redpanda)
.
Azure certifications (e.g.,
DP-203
,
Databricks Certified Data Engineer Associate/Professional
).
Why Join Us
Work on cutting-edge Azure & Databricks projects
in the healthcare domain.
Collaborative, innovation-driven work culture.
Opportunity to grow in a
fast-scaling data engineering practice
.
Competitive compensation and long-term career opportunities.
Ready to make an impact?
Apply now or DM us if you're a Pune-based data enthusiast
ready for your next big challenge
How to Apply:
Send your resume to
Subject Line: Application – Azure Databricks Developer
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