to process large-scale property data.
Collaborate with UK-based data analysts and developers to ensure smooth, clean data flow into dashboards and reports.
Develop and manage
data lakes
and
data warehouses
using
Azure Synapse
,
Data Factory
, and
Databricks
.
Write and maintain
C# code
for data orchestration, and contribute to shared repositories with best practices.
Integrate various data sources through
APIs
, Dataverse, ODBC, and other connectors.
Ensure data is well-modeled and optimized for
Power BI
performance and business intelligence use.
Monitor data pipeline performance, troubleshoot issues, and recommend improvements.
Deliverables:
Data Pipeline Development:
Design, build, and maintain robust
ETL/ELT pipelines
using
Azure Data Factory
,
Databricks
, and in-house
C# orchestration systems
.
Transform raw property datasets into structured, usable formats for reporting and analytics.
Monitor data pipelines for performance, troubleshoot issues, and implement optimizations for scalability and reliability.
Data Architecture:
Develop and manage
data lakes
and
data warehouses
using
Azure Synapse Analytics
and
SQL
.
Ensure data models follow best practices for performance, security, and governance.
Integrate diverse data sources, including
APIs
,
Dataverse
, ODBC, and other connectors.
Collaboration & Coding:
Write clean, maintainable
C# code
, contribute to shared repositories, and participate in code reviews.
Collaborate with UK-based Data Analysts and BI teams to deliver accurate and timely insights.
Prepare and shape data for
Power BI dashboards
and other business intelligence solutions.
Performance Reporting & Optimization:
Track data flow, system performance, and storage costs to ensure efficiency.
Recommend and implement improvements to data workflows and architecture.
Support stakeholders with documentation and guidance on data processes.
Qualifications:
Bachelor's degree
in Computer Science, Information Technology, Data Engineering, or a related field.
3-5+ years
of hands-on experience in data engineering, backend development, or data orchestration.
Strong programming skills in
C#
and advanced knowledge of
SQL
(complex queries & performance tuning).
Proficiency with
Git
,
CI/CD pipelines
, and collaborative development workflows.
Experience integrating diverse data sources (APIs, ODBC, connectors).
Bonus: Familiarity with
Python
,
Dataverse
,
Power Platform
, or experience in the
property/real estate industry
.
Excellent analytical skills, problem-solving mindset, and strong communication skills.
If interested Share Your Resume to jobs@prognova.co
Job Types: Full-time, Permanent
Pay: ₹470,286.60 - ₹1,818,638.96 per year
Benefits:
Health insurance
Provident Fund
Experience:
C#: 2 years (Required)
Work Location: In person
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