We are seeking a highly skilledSenior Data Engineerwith 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise inSnowflakeand hands‑on experience withPython, PySpark, AWS, and Airflowfor building scalable, high-performance data platforms. The role demands strong technical leadership, problem‑solving capabilities, and the ability to collaborate effectively with cross‑functional teams to deliver robust data engineering solutions.
Key Responsibilities
- Design, develop, and optimize data pipelines and data modelsusing Snowflakefor enterprise analytics and reporting
- Write and optimize complex SQL / PL‑SQL queries, procedures, and transformations to support large‑scale data processing
- Build and optimize enterprise data warehouse solutions on Snowflake.
- Develop data ingestion, transformation, and orchestration workflows using Python, PySpark, and Airflow.
- Develop and optimize complex SQL queries, stored procedures, views, streams, and tasks in Snowflake.
- Implement scalable cloud‑based data solutions leveraging AWS services.
- Ensure data quality, governance, security, and compliance across the data platform.
- Perform query tuning, performance optimization, and cost optimization within Snowflake.
- Automate deployment and monitoring through CI/CD and DevOps practices.
- Collaborate with business stakeholders, architects, analysts, and engineering teams to translate business requirements into technical solutions.
- Troubleshoot production issues and implement preventive measures to enhance platform reliability.
Preferred Experience
- Experience in large-scale cloud data migration initiatives.
- Strong understanding of enterprise data architecture and modern data platforms.
- Experience working with structured, semi-structured, and unstructured data.
- Exposure to Banking, Financial Services, or other large enterprise environments will be an added advantage.
- Experience in leading technical discussions and mentoring engineering teams.
Senior Data Engineer employer: Test Triangle
As an IoT Data Architect at our company, you will thrive in a dynamic and innovative environment that prioritises employee growth and collaboration. We offer competitive benefits, a supportive work culture, and opportunities to work on cutting-edge projects in regulated sectors, ensuring your contributions are both meaningful and impactful. Join us to be part of a team that values your expertise and fosters professional development in a location known for its vibrant tech community.
