We are seeking a highly skilled Senior Data Engineer with 8–12 years of
experience in designing, developing, and managing scalable data platforms and
enterprise data solutions. The ideal candidate will have robust expertise in
data engineering, cloud technologies, ETL/ELT development, data warehousing, and
big data ecosystems.

The candidate will play a key role in building up-to-date data platforms, enabling
advanced analytics, business intelligence, AI/ML initiatives, and data-driven
decision-making across the organization.

RESPONSIBILITIES

Key Responsibilities:
Design, develop, and maintain scalable data pipelines and data integration
frameworks.
Build and optimize ETL/ELT processes for structured and unstructured data
sources.
Develop and manage enterprise data warehouses, data lakes, and lakehouse
architectures.
Implement data ingestion, transformation, and orchestration solutions using
cloud-native services.
Collaborate with business analysts, data scientists, architects, and
stakeholders to understand data requirements.
Ensure data quality, governance,



security, and compliance standards are met.
Optimize database and query performance for large-scale datasets.
Design and implement real-time and batch data processing solutions.
Support reporting, analytics, AI/ML, and advanced data engineering
initiatives.
Participate in architecture reviews and provide technical leadership to the
data engineering team.
Develop CI/CD pipelines and automate deployment processes for data platforms.
Mentor junior engineers and establish engineering best practices.

QUALIFICATIONS

Qualification:

Required Technical Skills

Data Engineering
Data Modeling (Dimensional & Relational)
ETL/ELT Development
Data Warehousing Concepts
Data Lake & Lakehouse Architecture
Data Migration & Data Integration
Real-Time Data Processing

Cloud Platforms (Any One or More)
Microsoft Azure
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Data Lake Sto

📌 D 365 Data Engineer Pune (India)
🏢 Zensar
📍 India