We are seeking a highly skilled Senior Data Engineer with deep expertise in
Microsoft Azure data ecosystem to design, develop, and maintain scalable data
pipelines and architectures. The ideal candidate will play a key role in building robust
data solutions that support advanced analytics, BI, and AI workloads across the
organization. This role involves working with cross-functional teams — data scientists,
analysts, and business stakeholders — to ensure high-quality, secure, and performant
data delivery.
Total experience : 8 to 10 years
Key Responsibilities :
1. Data Architecture & Pipeline Development
pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics.
databases, SaaS applications, and data lakes.
and operational data stores.
cases using Azure Event Hubs / Azure Stream Analytics / Kafka.
2. Data Management & Governance
management, lineage tracking, and data cataloging (e.g., Azure Purview).
(AAD) and RBAC principles.
DevOps practices.
3. Cloud & DevOps Integration
performance.
templates for environment provisioning.
Actions.
4. Collaboration & Leadership
data solutions.
services.
decisions.
effectively.
Required Skills :
Core Azure Services :
integration runtime.
query optimization.
management.
Programming & Tools :
Strong in Python or Scala for data transformations.
Proficient in SQL (T-SQL, Spark SQL, or Synapse SQL).
Experience with PySpark for distributed data processing.
Knowledge of Git, CI / CD, and DevOps best practices.
Familiarity with Power BI integration or other reporting tools is a plus.Data Architecture & Modeling :
pipelines.
techniques.
tables.
Other :
Soft Skills
Excellent analytical and problem-solving abilities.
Strong communication and documentation skills.
Ability to work in an agile, fast-paced environment.
Proven experience collaborating in cross-functional teams.
Self-driven with a passion for data engineering and cloud technologies.
Senior Data Engineer • Tiruchirappalli, IN