Data Engineer

The Data Engineer will play a crucial role in designing, building, and maintaining scalable data pipelines and systems to support data analytics and business intelligence initiatives. This individual will work closely with data scientists, analysts, and other stakeholders to ensure data is accessible, accurate, and actionable.Key ResponsibilitiesData Pipeline Development

Design, develop, and implement robust and scalable ETL

Extract, Transform, Load pipelines to integrate data from various sources into data warehouses or data lakes.Data Modeling

Develop and maintain data models that support business requirements and enhance data accessibility and quality.Database Management

Manage and optimize relational and non-relational databases, ensuring high performance, reliability, and security.Data Quality

Monitor data quality and integrity, implementing data validation and cleansing processes to ensure accuracy and consistency.Collaboration

Work with data scientists, analysts, and business stakeholders to understand data needs and provide solutions to support data-driven decision-making.Performance Tuning

Optimize data processing and query performance through indexing, partitioning, and other techniques.Documentation

Create and maintain comprehensive documentation for data pipelines, data models, and other technical processes.Troubleshooting

Identify and resolve data-related issues, ensuring minimal disruption to data workflows and business operations.Compliance

Ensure that data handling practices comply with relevant regulations and industry standards.Innovation

Stay current with emerging technologies and industry trends, recommending and implementing new tools and practices to enhance data engineering capabilities.Qualifications

Education

Bachelor degree in Computer Science, Engineering, Mathematics, or a related field. Advanced degrees or certifications are a plus.Experience

Minimum of years of experience as a Data Engineer or in a similar role, with a proven track record of managing and optimizing data pipelines and databases.Technical Skills

Proficiency in SQL and experience with relational databases e.g., PostgreSQL, MySQL

Strong problem-solving abilities with a keen eye for detail and a commitment to delivering high-quality results.Communication

Excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and present technical information to non-technical stakeholders.Project Management

Ability to manage multiple tasks and projects simultaneously, with strong organizational and time-management skills.Preferred QualificationsExperience with data visualization tools e.g., Tableau, Power BI