AWS Data Engineer

VALCE T@lent Solutions; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

VALCE T@lent Solutions is seeking a highly experienced data engineer to develop and automate ETL processes using Airflow, build Python packages, and optimize SQL for Snowflake-grade data warehouses.

The role emphasizes creating reusable data tooling, scaling complex pipelines, and delivering high-performance query designs. This position targets senior professionals with deep SQL and Python expertise and cloud experience.

Qualifications

• Minimum 10+ years of professional data/ETL experience.
• Advanced Python skills including modules, multi-threading, and functional style.
• Expert SQL skills with complex joins, CTEs, and subqueries.

Responsibilities

• Develop and automate ETL processes and scheduling using Airflow DAGs.
• Build reusable Python packages and orchestrate complex data pipelines.
• Optimize SQL queries for performance in Snowflake and other data warehouses.

Skills

10+ years experience

Python (advanced)

SQL proficiency

Tools

DBT Core/Cloud

Jinja templating

AWS (S3, ECS, IAM, Lambda)

GitHub CI/CD

Job description

Responsibilities

• Develop and automate ETL processes and scheduling jobs using Airflow DAGs
• Build reusable Python packages and orchestrate complex data pipelines
• Optimize SQL queries for performance in data warehouse technologies like Snowflake

Requirements

• 10+ years of professional experience
• Advanced proficiency in Python (modules, multi-threading, functional programming)
• Expert SQL skills including complex joins, CTEs, and subqueries

Preferred Qualifications

• Experience with DBT Core/Cloud and Jinja templating
• Knowledge of AWS services including S3, ECS, IAM, and Lambda
• Proficiency in implementing CI/CD processes via GitHub

About the Company

Not specified.