AWS Data Engineer

About this role

Benefits:

• Hybrid
• Long Term
• Opportunity for advancement

Job Title: AWS Data Engineer

Location: Dallas, TX (Hybrid – 3 days per week in-office)

Interview Process: In-Person Interview
Profiles Required: 8–12 Years of Experience

Locals & Non-Locals Can Apply


Core Skills: Strong AWS Services, Python/PySpark, Advanced SQL
Submission Details: Resume, LinkedIn URL, Work Authorization, Location Details


Job Description
Our esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives.
This role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact.

Key Responsibilities

• Develop and maintain scalable ETL pipelines within the AWS ecosystem.
• Conduct ETL testing to ensure data integrity, accuracy, and performance.
• Lead and support large-scale cloud migration projects.
• Use Python (primary language) along with SQL and PySpark to develop data processing and automation solutions.
• Orchestrate data workflows using Apache Airflow (including MWAA).
• Collaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies.
• Monitor, troubleshoot, and optimize pipelines for reliability and performance.
• Document design, conduct code reviews, and apply test-driven development (TDD) practices.
• Work in Agile environments, participating in sprint planning and daily stand-ups.
• Ensure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed

Qualifications

• 8–12 years of ...