Databricks / Spark Data Engineer

Saicon

India

On-site

INR 1,200,000 - 1,800,000

Full time

14 days+

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Qualifications

Hands-on Spark engineering experience.
Experience with cloud data warehouses and data lakes.
Proficiency with AWS services (S3, Glue, Redshift).
Familiarity with AI-assisted coding tools.

Responsibilities

Build and maintain scalable data ingestion and processing pipelines.
Develop and optimize Spark-based workloads.
Work with cloud-native data storage and integration services.
Support enterprise data platform initiatives.
Utilize modern development and AI coding tools to improve engineering efficiency.

Skills

Spark

Databricks

AWS data services

Redshift

Ingestion concepts

GitHub Copilot

Distributed processing

Performance optimization

Tools

Databricks

GitHub Copilot

Job description

We are seeking a Data Engineer with strong Spark fundamentals and experience working in cloud-based data environments. The ideal candidate will have hands-on expertise in building scalable data pipelines and leveraging modern development tools to improve productivity.

Required Skills

Strong experience with Apache Spark and Databricks
Solid understanding of distributed data processing and performance optimization
Experience with AWS data services and cloud ecosystems, including:Amazon S3AWS GlueAmazon Redshift
Data queues such as Amazon SQS
Understanding of cloud storage, data movement, and ingestion concepts
Experience using AI-assisted coding tools such as GitHub Copilot

What You'll Do

Build and maintain scalable data ingestion and processing pipelines
Develop and optimize Spark-based workloads
Work with cloud-native data storage and integration services
Support enterprise data platform initiatives
Utilize modern development and AI coding tools to improve engineering efficiency

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