Azure Databricks Developer

5 days ago


Pune, Maharashtra, India Newscape Consulting Full time ₹ 8,00,000 - ₹ 16,00,000 per year


We're Hiring: Senior Databricks Engineer / Azure 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 or those willing to relocate to Pune 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

5+ 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


#Hiring #Databricks #AzureDataEngineer #PuneJobs #DataEngineering #HealthcareTech #OnsiteJobs #PySpark #NewscapeConsulting #Databricks #AzureDataEngineer #SeniorDataEngineer #PySpark #SparkSQL #BigData #DataEngineering #DataEngineerJobs #ETLDeveloper #DataPipeline #Azure #AzureDataFactory #AzureDevOps #DeltaLake #LakehouseArchitecture #UnityCatalog #DataLake #CloudComputing #CloudDataEngineering #DataPlatform


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