Design and implement scalable, reliable, and secure
data architectures.
Develop best practices and frameworks for data
integration, governance, and security.
Define and drive the roadmap for enterprise data
solutions aligned with business objectives.
Architect, build, and optimize ETL/ELT pipelines
using Azure Data Factory (ADF), Databricks, and PySpark.
Work with SQL and big data technologies to ensure
efficient data processing and storage.
Design and manage data lakes, data warehouses, and
cloud-based storage solutions.
Implement cloud-based data solutions, primarily using
Microsoft Azure (Azure Data Factory, Azure Synapse, Azure Databricks).
Ensure cost-effective and high-performance cloud
solutions for data processing and analytics.
Lead and mentor a team of data engineers, ensuring
adherence to best practices.
Collaborate with stakeholders, including data
analysts, business leaders, and software engineers, to define and
implement data-driven solutions.
Provide technical guidance and architectural
direction for complex projects.
Ensure high availability, scalability, and
performance of data systems.




Implement data security policies and ensure
compliance with industry standards (GDPR, HIPAA, etc.).
Optimize data storage and retrieval for maximum
efficiency and cost savings.

Requirements
Proven
experience in designing and implementing large-scale data solutions.
SQL:
Advanced skills in query optimization and database management.
PySpark:
Solid experience in data transformation and processing.
Databricks:
Hands-on experience in big data frameworks and analytics.
Azure
Data Factory (ADF): Expertise in orchestrating ETL/ELT pipelines.
Cloud
Platforms: Robust experience with Azure (preferred), AWS, or GCP.
Data
Warehousing: Deep understanding of data modeling, data lakes, and data
warehouse architectures.
Solution
Architecture: Ability to design end-to-end data solutions for enterprises.
Strong
leadership and team management skills.
Excellent
problem-solving and analytical thinking.
Effective
communication and stakeholder management.
Ability to work in a fast-paced and energetic
environment.

📌 Lead Data Engineer Coimbatore
🏢 Recognized
📍 Coimbatore