The Role
Leads enterprise data engineering strategy, designs cloud and hybrid data architectures, and develops scalable ETL/ELT pipelines. Drives platform modernization, governance, security, DevOps/DataOps, real-time streaming, and data availability for BI, AI, and analytics. Provides technical mentorship, translates business requirements into data solutions, and develops REST APIs, Azure App Services, and Azure PaaS implementations.
Summary Generated by Built In
Job Title: Data Engineer lead
Experience Required: 10+ Years
Location: Hyderabad/Ahmedabad
Employment Type: Full-time
Position Overview
We are seeking an experienced Data Engineer with over 10 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.
- 10+ 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:
· 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.
Skills Required
- Bachelor's or master's degree in computer science, engineering, or a related field
- 10+ years of experience in data engineering or data architecture
- Expertise in Python, SQL, Spark, Kafka, and Airflow
- Experience with cloud platforms such as AWS, Azure, or GCP
- Hands-on experience with Snowflake, Databricks, or Delta Lake
- Strong understanding of data modeling, governance, and lineage tools
- Problem-solving, leadership, and communication skills
- Experience with C#, .NET Core, Azure PaaS, REST API development, EF Core, leadership, and Agile practices
- Experience with Blazor UI, Azure Integration Services, design patterns, and cloud security best practices
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The Company
What We Do
Proclink is a digital and AI transformation company that helps regulated and operationally intensive enterprises modernize systems, workflows, and decision environments. It combines strategy and consulting, data engineering, artificial intelligence, analytics, implementation and integration, managed services, and technology services. The company serves manufacturing, financial services, life sciences, and other regulated industries, delivering connected enterprise intelligence and measurable operational performance for clients.
