Data Engineer

Data Engineer

Client: Sincera a Virtusa Company's Financial Client
Experience: 7-10+ years
Role: Data Engineer
Location: [Houston TX / Hybrid -3 days a week]-LOCAL TO HOUSTON CANDIDATES PREFERRED. NEED TO HIRE FULLTIME ONLY FOR THIS ROLE

Role Overview

We are looking for an experienced Data Engineer with strong hands-on experience in Core Python, SQL, Big Data, Shell Scripting, and AWS.

The ideal candidate should be comfortable writing production-quality Python code, developing data pipelines, working with large datasets, and building scalable data solutions on AWS.

Required Skills

• 7+ years of professional experience in Data Engineering or a closely related field
• Strong hands-on Data Engineering experience
• Strong Core Python programming skills with the ability to write code independently
• Strong SQL skills, including complex queries and data manipulation
• Good understanding of Big Data concepts and data processing
• Hands-on experience with Shell/Bash scripting
• Hands-on experience with AWS S3
• Experience designing, developing, testing, and supporting data pipelines / ETL processes
• Strong understanding of data integration, data processing, and data engineering best practices

Good to Have

Experience with one or more of the following technologies is preferred:

• AWS SQS / event-driven architecture
• Microservices
• API Development / REST APIs
• Apache Kafka
• Kubernetes
• Argo / Argo Workflows
• Amazon Redshift
• Amazon Aurora

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and data processing solutions
• Write clean, maintainable and production-ready Python code
• Develop complex SQL queries for data processing and analysis
• Work with large datasets and apply Big Data concepts
• Build and maintain data workflows using AWS services, particularly Amazon S3
• Develop Shell/Bash scripts for automation and data processing
• Integrate data from multiple sources and support reliable data movement and transformation
• Troubleshoot data pipeline and production issues
• Collaborate with application, cloud, architecture, and engineering teams
• Follow best practices for performance, scalability, security, monitoring, and code quality

Ideal Candidate

The ideal candidate is a hands-on Data Engineer, not primarily a BI/reporting or database administration professional.

Candidates should be able to demonstrate:

Core Python + SQL + Big Data + Shell Scripting + AWS S3

as their primary technical skill set, with exposure to event-driven architecture, Kafka, APIs, microservices, Kubernetes, Redshift, or Aurora considered an advantage.