Azure Data Engineer - Team Lead

Compensation

Not disclosed

Location

Hyderabad, TG, India

Work setup

Not specified

Seniority

Lead

Employment

Full time

Experience

8+ years

Skills

agile
ai
airflow
analytics
api
aws
azure
blazor
business-intelligence
cloud
cloud-security
csharp
data-engineering
data-governance
data-modeling
data-pipelines
data-science
databricks
delta-lake
design-patterns
devops
dotnet
elt
etl
gcp
kafka
machine-learning
python
rest
snowflake
spark
sql
test-automation

Must have

Bachelor’s or master’s in computer science, Engineering, or related field. 8+ years in Data Engineering or Data Architecture roles. Expertise in Python, SQL, Spark, Kafka, and Airflow. Proven experien

Nice to have

· C#, .NET Core, Azure PaaS, Problem-Solving, REST API Development, EF Core, Leadership, Agile Practices.
· Blazor UI, Azure IPaaS (Azure Integration Services), Design Patterns, and Cloud Security best practices.

Full description

Job Title: Data Engineer - Lead

Experience Required: 8+ Years

Location: Hyderabad/Ahmedabad

Employment Type: Full-time

Position Overview

We are seeking an experienced Data Engineer with over 8 years of experience in designing, developing, and optimizing enterprise-scale data solutions. The ideal candidate will lead our data engineering strategy, architect cloud-based data platforms, and mentor engineering teams to deliver scalable and reliable data systems that power business intelligence, AI, and analytics.

Roles & Responsibilities

· Design and implement modern data architectures across cloud and hybrid environments.

Develop and optimize data pipelines and ETL/ELT processes for high-volume, high-velocity data.
Lead data platform modernization initiatives using cutting-edge tools and frameworks.
Define and enforce data governance, security, and compliance standards.
Partner with Data Science, BI, and Product teams to ensure data availability, accuracy, and performance.
Provide technical leadership and mentorship to data engineers and developers.
Implement DevOps/Data Ops practices for automated testing, deployment, and monitoring.
Continuously evaluate and introduce innovative data technologies that enhance efficiency and scalability.
Translate business requirements into robust and scalable technical data solutions.
Support real-time and streaming data architectures for analytics and ML workloads.
Designing and developing REST APIs / Azure App Services and implementing Azure PaaS solutions.

Required Skills & Qualifications

Bachelor’s or master’s in computer science, Engineering, or related field.
8+ years in Data Engineering or Data Architecture roles.
Expertise in Python, SQL, Spark, Kafka, and Airflow.
Proven experience with cloud platforms (AWS, Azure, or GCP).
Hands-on experience with Snowflake, Databricks, or Delta Lake.
Strong understanding of data modelling, governance, and lineage tools.
Excellent problem-solving, leadership, and communication skills.

Good to Have Skills: