Data Engineer

About the role

We are looking for a Data Engineer to design, build, and maintain reliable data pipelines and infrastructure that support business intelligence, analytics, and data-driven decision-making. The ideal candidate has strong experience in data engineering, ETL/ELT, SQL, cloud platforms, and data warehouse technologies, with a strong focus on data quality, scalability, and performance.

Key responsibilities

• Design, develop, and maintain scalable data pipelines for batch and real-time data processing.
• Build ETL/ELT workflows to collect and transform data from multiple sources.
• Integrate data from APIs, databases, applications, third-party systems, and other sources.
• Monitor data pipelines and troubleshoot data processing issues.
• Optimize pipelines for performance, reliability, and cost efficiency.
• Design and maintain data warehouses, data lakes, and data marts.
• Develop efficient data models to support reporting, analytics, and business requirements.
• Implement data validation and quality checks across data pipelines.
• Work closely with Data Analysts, BI Developers, Data Scientists, Software Engineers, and business stakeholders.
• Translate business requirements into scalable technical data solutions.

About you

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, Engineering, or a related field.
• 3–6+ years of experience in Data Engineering or a related role.
• Strong SQL and data transformation skills.
• Hands-on experience building and maintaining production data pipelines.
• Strong understanding of data warehousing, data modeling, and ETL/ELT concepts.
• Experience with Python or another programming language.
• Experience with relational databases such as PostgreSQL, MySQL, or SQL Server.
• Experience with ETL/ELT and data pipeline development.
• Experience with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform.
• Strong analytical and problem-solving skills.