Data Engineer

Technexusgen; Dadri, Bengaluru; Hybrid; INR 350,000 - 800,000; Full time

Job summary

Technexusgen is seeking a Lead Data Engineer to design scalable data solutions, modern analytics platforms, data warehouses and lakehouses in a dynamic, multi-cloud environment. The role focuses on building robust ETL/ELT pipelines, governance, and metadata management across Azure, AWS, Databricks, and Snowflake.

The candidate will implement medallion and lakehouse architectures, model data with star/snowflake/data vault schemas, and drive data quality initiatives.

Qualifications

• Minimum 5 to 7 years of data engineering experience.
• Strong design experience for data warehouses and lakehouses.
• Hands-on with cloud data platforms (Azure/AWS) and Databricks.
• Experience with data governance and metadata management.

Responsibilities

• Design data warehouse and data lakehouse architectures.
• Develop ETL/ELT pipelines and CDC solutions.
• Create star, snowflake, and data vault models.
• Implement medallion and lakehouse architectures.
• Work across cloud ecosystems (Azure, AWS, Snowflake, Databricks).
• Establish data quality and metadata management frameworks.

Skills

Data Architecture

ETL/ELT

Data Warehouse / Data Lakehouse design

Data Modeling

Medallion Architecture

Cloud & Analytics Platforms

Data Governance

Metadata Management

AI/ML Data Platforms

Real-Time Data Processing

Job description

Lead Data Engineer

Experience Required: 5 to 7 Years

Work Shift: 2:00 PM 11:00 PM IST

Role Overview: Looking for a Lead Data Engineer to design scalable data solutions, modern analytics platforms, Data Warehouses, and Data Lakehouses.

Key Responsibilities

• Design Data Warehouse, Data Lakehouse, and modern data platforms.
• Develop ETL/ELT Pipelines and CDC solutions.
• Create Star Schema, Snowflake Schema, and Data Vault models.
• Implement Medallion Architecture and Lakehouse Architecture.
• Work across Azure, AWS, Databricks, Microsoft Fabric, or Snowflake ecosystems.
• Establish Data Quality, Data Governance, and Metadata Management frameworks.

Must-Have Skills

• Data Architecture, ETL/ELT, Data Warehouse / Data Lakehouse design.
• Data Modeling: Star Schema, Snowflake Schema, Data Vault, CDC, SCD.
• Medallion Architecture experience.
• Cloud & Analytics Platforms: Azure/AWS, Databricks, Microsoft Fabric, or Snowflake.
• Data Governance, Metadata Management, and AI/ML Data Platforms.

Good-to-Have Skills

• Real-Time Data Processing, DataOps / DevOps, Multi-Cloud Architecture.