Data Engineer: Build Scalable Pipelines & Cloud Data

EdgeQ Technologies Private Limited

Dallas (TX)

On-site

USD 100,000 - 160,000

Full time

2 days ago

Be an early applicant

A complete application in a minute

Tailored resume and cover letter, ready to send.

Get past ATS filters

Job summary

EdgeQ Technologies Private Limited seeks a Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure to enable analytics and ML across the org. You will collaborate with data scientists, analysts, and engineers to build robust data warehouses, implement ETL/ELT workflows, and manage cloud data platforms (AWS/Azure/GCP) ensuring data quality and governance.

You will collaborate with data scientists, analysts, and engineers to build robust data warehouses, implement

Qualifications

Bachelor’s degree in Computer Science, IT, Engineering or related field.
2-9 years of professional experience in data engineering.
Strong programming skills in Python, SQL and experience with Spark or PySpark.
Hands-on experience with cloud platforms (AWS/Azure/GCP) and data warehouse technologies.
Proficiency in building and maintaining production-grade ETL pipelines.

Responsibilities

Design, develop and maintain scalable data pipelines and ETL/ELT workflows.
Build and optimize data warehouses, lakes, and lakehouse architectures.
Implement batch and real-time data processing using Python, SQL and Spark.
Manage cloud-based data infrastructure on AWS, Azure or GCP.
Ensure data quality, security, governance and monitor pipeline performance.
Collaborate with analytics, AI/ML and engineering teams to deliver reliable data solutions.