AWS Data Engineer

Job Title: AWS Data Engineer 

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

Interview Process: In-Person Interview

Profiles Required: 6-12 yrs.

Locals & Non-Locals Can apply.

• Strong AWS Services , Python/Pyspark, Advanced SQL
• Resume, LinkedIn URL, W.Auth , Location details

Job Description:

Our Esteemed Client is looking for experienced Data Engineers with strong skills in ETL Testing, Cloud Migration, and Python programming in an AWS environment. 

As part of our team, you'll design and maintain data pipelines, perform ETL testing, and contribute to large-scale cloud migration projects. 

We seek candidates who are passionate about leveraging Python for custom data solutions and automation, with a desire to make a tangible impact on our data infrastructure.

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 efforts.

- Use Python to develop custom scripts and automate processes.

- Collaborate with cross-functional teams to design efficient data solutions.

- Monitor, troubleshoot, and optimize data workflows for reliability and performance.

- Ensure a smooth transition of data during cloud migrations.

Qualifications:

- 6-12 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development.

- Strong hands-on experience in AWS services (S3, Redshift, Glue, Lambda).

- Proficiency in ETL testing and methodologies.

- Advanced skills in Python for data processing and automation.

- Knowledge of cloud migration strategies and best practices.

- Excellent problem-solving skills with the ability to troubleshoot complex data issues.

- Ability to work in a hybrid model, with 3 days a week in-office at our Dallas location.