Lead Data Engineer

We're Hiring: Lead Data Engineer

• *Experience:** 5–7 Years
• *Location:** Remote – PAN India
• *Shift:** 2:00 PM – 11:00 PM IST
• *Engagement Type:** C2C (Corp\-to\-Corp)

• *Job Summary**

We are looking for an experienced **Lead Data Engineer** with strong expertise in Data Engineering, Data Architecture, and Cloud Data Platforms. The ideal candidate will have hands\-on experience designing scalable data architectures, building robust ETL/ELT pipelines, and implementing modern Data Warehouse and Lakehouse solutions to support enterprise analytics and AI/ML initiatives.

• *Key Responsibilities**

• Design and implement scalable Data Warehouse, Data Lakehouse, and modern data platform architectures.
• Develop, maintain, and optimize ETL/ELT pipelines and Change Data Capture (CDC) solutions.
• Design and implement data models using Star Schema, Snowflake Schema, and Data Vault methodologies.
• Implement Medallion Architecture and Lakehouse Architecture for efficient and scalable data processing.
• Work with cloud data platforms, including Azure, AWS, Databricks, Microsoft Fabric, and Snowflake.
• Establish and maintain data quality, data governance, and metadata management frameworks.
• Build reliable, high\-performance data solutions to support analytics and AI/ML use cases.
• Implement Slowly Changing Dimensions (SCD) and ensure data consistency and integrity.
• Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
• Contribute to enterprise data platform modernization and architecture improvements.

• *Required Skills \& Qualifications**

• 5–7 years of experience in Data Engineering and Data Architecture.
• Strong hands\-on experience in ETL/ELT pipeline development.
• Solid understanding of Data Warehousing and Data Lakehouse concepts.
• Expertise in data modeling, including Star Schema, Snowflake Schema, and Data Vault.
• Hands\-on experience with Change Data Capture (CDC) and Slowly Changing Dimensions (SCD).
• Strong understanding and implementation experience of Medallion Architecture.
• Practical experience with at least one major cloud platform: **Microsoft Azure or AWS**.
• Hands\-on experience with **Databricks**.
• Exposure to **Microsoft Fabric or Snowflake**.
• Knowledge of data governance, data quality, and metadata management.
• Experience building and supporting data platforms for analytics and AI/ML initiatives.

• *Good\-to\-Have Skills**

• Experience with real\-time data processing and streaming technologies.
• Familiarity with DataOps and DevOps practices.
• Experience designing and implementing multi\-cloud data architectures.

Ideal Candidate Profile

The ideal candidate is a technically strong Data Engineer with expertise in modern cloud data platforms, scalable data pipeline development, and enterprise data architecture. The candidate should be capable of translating business requirements into reliable, efficient, and scalable data solutions.

Pay: ₹110,000\.00 \- ₹120,000\.00 per month

Work Location: Remote