Summary :
- Location : Baltimore MD
- Experience : Minimum 3 years
- Job Type : Permanent
- Role Focus : Data pipelines, integration, storage systems, and data quality
Ideal Candidate Should Have :
A Bachelor's degree in Computer Science, IT, or related field.3 years of experience as a Data Engineer, Data Architect, or similar role.Expertise in relational database technologies (e.g., MySQL, PostgreSQL, SQL Server).Proficiency in ETL / ELT processes and data modeling techniques.Familiarity with cloud platforms like AWS, Azure, or Google Cloud.Strong understanding of data governance frameworks and best practices for data quality.Excellent problem-solving, communication, and interpersonal skills.Job Description :
Thinking Minds' client is seeking a skilled Senior Data Engineer to join their growing R&D team. This role is instrumental in designing, developing, and maintaining scalable data systems that support data-driven decision-making. The ideal candidate will be passionate about creating robust data pipelines, ensuring seamless integration, and maintaining high-quality data to power organizational objectives.
Key Responsibilities :
Data Pipeline Development :
Design and build scalable, efficient, and reliable data pipelines to handle large-scale data processing.Data Integration :
Integrate diverse data sources such as relational databases, APIs, and third-party datasets into unified systems for accessibility and analysis.Database Design & Management :
Develop and maintain databases, data warehouses, and other storage solutions to align with the company's data needs.ETL / ELT Processes :
Implement and optimize Extract, Transform, Load (ETL) processes to ensure the seamless and accurate movement of data.Data Quality & Governance :
Enforce data quality standards, conduct regular testing, and ensure compliance with governance frameworks.Collaboration :
Partner with data integration engineers, analysts, and software developers to address data needs and implement efficient solutions.Automation :
Automate data workflows and repetitive processes to enhance system efficiency.Data Security & Compliance :
Ensure all systems comply with security regulations (e.g., GDPR, HIPAA) and best practices for data privacy.Performance Optimization :
Monitor and improve the performance of data systems to ensure scalability and efficiency.Required Qualifications :
Education : Bachelor’s degree in Computer Science, IT, or related field.Experience : Minimum 3 years in roles such as Data Engineer or Data Architect.Technical Skills : Strong expertise in relational database systems like MySQL, PostgreSQL, and SQL Server.Hands-on experience with data modeling, data warehousing, and ETL / ELT tools.Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.Other Skills : Solid understanding of data governance and data quality best practices.Excellent problem-solving and interpersonal skills to work effectively with cross-functional teams.This position is ideal for candidates who are motivated to work on challenging projects, build reliable data infrastructures, and contribute to an organization's strategic data initiatives.
