, we're on a mission to empower organizations through intelligent data solutions. As we continue to scale, we're looking for a
Principal Data Engineering Consultant
to lead high-impact data transformation projects from architecture to implementation for our global clients.
If you're passionate about data, cloud technology, and helping businesses unlock the full potential of their information, this is the perfect opportunity to make an impact.
What You'll Do
Design, build, and deliver
modern data platforms
using technologies like
Azure, AWS, Databricks, and Snowflake
Lead technical engagements, advising clients on
data strategy, architecture, and best practices
Develop
scalable data pipelines
for analytics, AI, and ML workloads
Mentor junior engineers and guide teams through technical challenges
Collaborate with data scientists, analysts, and business stakeholders
Stay ahead of the curve with emerging
data engineering tools, frameworks, and methodologies
What You Bring
6+ years of experience in
data engineering or data platform development
Expertise in:
Microsoft Azure
and cloud computing concepts
Apache Spark
- Databricks, Microsoft Fabric, or another Spark engine
Python
- we build most of our solutions in Python
SQL
- complex, high-performance queries and compute optimization
Azure Data Factory
or other cloud orchestration tools
Azure Data Lake Storage
and
Delta Lake
Unity Catalog
,
Purview
, or other data governance tools
Infrastructure as Code (IaC)
tools such as
Terraform
and
Azure DevOps
Nice-to-Haves
Certifications in
Azure Data Engineering
or
Databricks
Experience with
CI/CD pipelines
and
DevOps for data
Familiarity with
data governance and security frameworks
Experience with
Power BI
or
Tableau
Exposure to
streaming data technologies
(Azure Stream Analytics, Event Hubs, IoT Hubs)
Knowledge of
distributed compute engines
or
parallel systems
Experience building
Azure Functions
in
Python
or
C#
Job Type: Full-time
Pay: ₹125,000.00 - ₹180,000.00 per month
Work Location: Remote
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