Role: We are seeking a skilled and motivated Data Engineer to join our dynamic team. The Data Engineer will be responsible for designing, implementing, and maintaining data pipelines and database systems that power our analytics and reporting capabilities. The ideal candidate will have a strong background in data engineering, a passion for data-driven decision-making, and the ability to work collaboratively with cross-functional teams.

Key Responsibilities (Must Have):

1. Data Pipeline Development:Design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of data from various sources
2. Implement ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently moved between systems
3. Troubleshoot and optimize pipeline performance and reliability

1. Database Management:Design and optimize database schemas to support data storage, retrieval, and analysis
2. Manage and maintain data storage solutions, including relational databases (e.g., MS SQL Server) and/or NoSQL databases (e.g., MongoDB, Cassandra)
3. Implement best practices for data integrity, security, and performance

1. Documentation and Reporting:Maintain comprehensive documentation of data pipelines, data models, and data integration processes
2. Experience in Microsoft SSRS / SSIS packages
3. Provide regular reports on data pipeline performance, data quality, and other key metrics
4. Create and maintain data visualization dashboards using reporting tools
5. Experience in Power BI

Good to have:

• Basic to intermediate knowledge of Microsoft Excel
• Hands-on experience with reporting and data visualization tools
• Knowledge of data modelling techniques and best practices
• Strong problem-solving skills and attention to detail
• Excellent communication skills and ability to translate technical concepts for non-technical stakeholders
• Experience in Python/.NET

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.