Description

You will build and maintain the enterprise-grade data platform supporting the Data Strategy initiative.

This role is hybrid.

Responsibilities

• Design, build, and maintain ETL/ELT pipelines using AWS Glue, including Jobs, Workflows, and Crawler integration.
• Develop and optimize Snowflake data models, schemas, and warehouse structures for enterprise analytics.
• Implement and manage Snowpipe for continuous data ingestion from structured and semi-structured sources.
• Perform data profiling, quality assessments, and root-cause analysis on complex datasets.
• Support data migration activities, including mapping, cleansing, and validation.

Required Skills

• 10+ years of experience as a Data Warehouse Developer or Data Engineer.
• Hands-on expertise with AWS Glue, including Glue Studio, Glue Jobs (PySpark/Python), and Glue Catalog.
• Strong experience with Snowflake, including schema design, Snowflake SQL, and performance tuning.
• Practical experience implementing Snowpipe for automated cloud storage ingestion.
• Proficiency in Python for ETL/ELT development and automation.
• Strong SQL skills for large-scale relational and cloud-based databases.
• Solid understanding of data modeling, data warehousing concepts, and ETL best practices.
• Experience with data quality, validation, and reconciliation processes.
• Familiarity with AWS services.

Key Skills

Education

Any Graduate