Innovation Starts Here

At Code1 Tech, we drive innovations that shape the future of enterprise technology. Our expertise spans Data Engineering, AI/ML, Cloud Solutions, and Full-Stack Development. We empower businesses with cutting-edge technology solutions, enabling digital transformation at scale. Join us to build impactful products with a passionate team of engineers and innovators.

We are looking for an experienced Data Engineer with strong expertise in SQL and Python and hands-on experience working with cloud platforms. Candidates with GCP experience will be preferred. The ideal candidate should have strong problem-solving abilities, attention to detail, and the confidence to work independently on data engineering solutions.

• Design, develop, and maintain scalable and reliable data pipelines and data engineering solutions.
• Write efficient and optimized SQL queries for data extraction, transformation, and analysis.
• Develop data processing and automation solutions using Python.
• Work with cloud-based data platforms, preferably Google Cloud Platform (GCP).
• Ensure data quality, accuracy, consistency, and reliability across data pipelines.
• Troubleshoot data-related issues and identify effective solutions to improve pipeline performance.
• Collaborate with cross-functional teams and stakeholders to understand data requirements and deliver effective solutions.
• Follow best practices for data engineering, documentation, testing, and deployment.

• 6–8 years of professional experience in Data Engineering.
• Strong hands-on experience with SQL and Python.
• Experience working with at least one cloud platform; GCP is preferred.
• Strong understanding of data engineering concepts, data pipelines, and ETL/ELT processes.
• Excellent problem-solving and analytical skills.
• Strong attention to detail with a focus on data accuracy and quality.
• Good communication skills with the ability to explain technical concepts clearly.
• Confident in technical decision-making and hands-on implementation.

• Experience with Databricks.
• Experience with Apache Airflow.
• Exposure to modern data engineering and cloud-based data platforms.