Senior Data Engineer

Code1; India; Remote; INR 3,000,000 - 5,000,000; Full time

Job summary

Code1 Tech in India is seeking a Senior Data Engineer to lead the development and maintenance of enterprise data platforms. You will architect scalable ingestion pipelines and data products that empower business insights and scale with complex data sources.

You will mentor engineers, shape architectural decisions, enforce governance and security, and collaborate with platform teams to modernize our data estate while optimizing costs and performance.

Qualifications

• 8–12 years of enterprise data engineering experience.
• Strong ability to design scalable ingestion and transformation pipelines.
• Experience with data governance, lineage, and security automation.

Responsibilities

• Design scalable data ingestion patterns for high-volume data.
• Develop data transformations with complex multi-source rules.
• Implement data governance with lineage, access controls, and compliance.
• Optimize costs via intelligent resource allocation and scheduling.
• Lead architecture decisions for data platform evolution.
• Mentor engineers in best practices for cloud-native data work.
• Drive code quality through testing, documentation, and reviews.
• Collaborate with platform teams to integrate data solutions.

Skills

Spark 3.3+

Azure Databricks

ADLS Gen2

GCS BigLake

AI-assisted coding

Tools

Azure Data Lake Storage Gen2

Google Cloud Storage BigLake

Job description

At Code1 Tech, we drive innovations that shape the future of enterprise technology. Our expertise spans Data Engineering, AI/ML, Cloud Solutions, and Full-Stack Development. We empower businesses with cutting-edge technology solutions, enabling digital transformation at scale. Join us to build impactful products with a passionate team of engineers and innovators.

About The Role

We are seeking a Senior Data Engineer to lead the development and maintenance of enterprise data engineering frameworks and data products. This role combines deep technical expertise in modern data technologies with strategic thinking about scalable, reusable data platform components. The successful candidate will drive the evolution of our data infrastructure while delivering high-quality data products that enable business insights and decision-making.

Exp: 8 - 12 Years

Key Responsibilities:

• Design and implement scalable data ingestion patterns supporting high-volume, high-velocity data.
• Develop data transformation logic with complex business rules and multi-source data integration.
• Create data governance solutions with lineage tracking, access control, and compliance automation.
• Implement cost optimization strategies with intelligent resource allocation and scheduling.

Architecture & Strategy

• Lead technical architecture decisions for data platform evolution and technology selection.
• Mentor junior engineers in best practices for enterprise data engineering and cloud-native development.
• Drive code quality initiatives including testing strategies, documentation standards, and peer review processes.
• Collaborate with platform teams to integrate data solutions with enterprise infrastructure.
• Research and evaluate emerging technologies in the data engineering ecosystem.
• Prototype proof-of-concepts for new capabilities and technology integrations.
• Drive performance optimization initiatives and cost reduction strategies.
• Lead technical debt reduction and platform modernization efforts.

Required Technical Skills:

Programming Languages:

• Hands-on experience with AI tools and AI-assisted (“vibe”) coding to accelerate development.
• Apache Spark 3.3+, Azure Databricks, Azure Data Lake Storage Gen2, GCS with BigLake

Advanced Capabilities:

• Monitoring: Custom metrics and business event tracking, log aggregation.