Description

You will design, build, and maintain scalable data pipelines and cloud-native warehouses for data-intensive environments.

This role is on-site.

Responsibilities

• Design and implement ELT workflows using modern frameworks like dbt.
• Build and manage cloud-native data warehouses to support analytics needs.
• Develop robust data processing logic using Python and Spark.
• Maintain and optimize data infrastructure across AWS and GCP environments.

Required Skills

• 7+ years of experience as a data engineer, analytics engineer, or software engineer.
• Expert-level SQL proficiency for complex queries and optimization.
• Advanced Python programming skills for data engineering tasks.
• Deep knowledge of ELT frameworks and transformation logic.
• Hands-on experience with Snowflake or BigQuery.
• Practical experience with Databricks for distributed processing.
• Familiarity with Fivetran for data ingestion.
• Proficiency with Spark for large-scale data processing.
• Experience working in AWS or GCP cloud ecosystems.

Preferred Skills

• Experience with dbt for data transformation.
• Background in data-intensive environments.

Key Skills

Education

Any Graduate