Data Engineering Consultant

1 week ago


Dallas, United States Select Minds LLC Full time
Job DescriptionJob DescriptionJob Title: Data Engineer – ETL Testing, Cloud Migration, and PythonLocation: Dallas, TX (Hybrid – 3 days in-office)Interview Process: In-person
Are you a Data Engineer passionate about transforming data systems and driving innovation? Join our dynamic team as we revolutionize data pipelines and lead cloud migration projects
We’re seeking a seasoned professional with expertise in ETL Testing, Cloud Migration, and Python programming within an AWS environment. Your role will be pivotal in designing robust data workflows, ensuring data integrity, and enabling seamless transitions to the cloud. 
Key Responsibilities: • Develop and Optimize Data Pipelines: Build scalable ETL pipelines using AWS tools to process and transform data efficiently. • ETL Testing: Ensure data accuracy, integrity, and performance through rigorous testing methodologies. • Lead Cloud Migration Projects: Spearhead large-scale cloud migration initiatives to modernize and future-proof data systems. • Python Development: Create custom scripts for data processing and automation, driving efficiency across workflows. • Collaborate Across Teams: Work closely with cross-functional teams to design and implement effective data solutions. • Troubleshoot and Monitor Workflows: Diagnose and resolve issues to ensure data workflows are reliable and optimized for performance. • Support Seamless Transitions: Facilitate smooth data migration while adhering to best practices and security standards
Must-Have Skills:
Experience: 8–10+ years in Data Engineering, specializing in ETL, Cloud Migration, and Python development. • Technical Expertise: Hands-on experience with AWS services like S3, Redshift, Glue, and Lambda. • ETL Proficiency: Strong understanding of ETL testing techniques and methodologies. • Python Mastery: Advanced skills in Python for developing data solutions and automation tools. • Cloud Savvy: In-depth knowledge of cloud migration strategies and industry best practices. • Problem-Solving Skills: A knack for troubleshooting and resolving complex data issues effectively. • Location Flexibility: Ability to work in a hybrid model, spending 3 days per week at our Dallas, TX office.
Preferred Qualifications:
• Experience with Data Modeling and Data Warehousing concepts, with a focus on Cloud/On-Prem ETL.
• Strong understanding of data architecture and best practices in analytics platforms.

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