Role Summary
We are seeking a highly skilled Senior Data Engineer with 8–15 years of experience in designing, developing, and implementing enterprise-scale data solutions. The ideal candidate will possess strong expertise in Snowflakeand hands-on experience with Python, PySpark, AWS, and Airflow for 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 models using Snowflake for 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.
Skills Required
- 8-15 years of experience designing, developing, and implementing enterprise-scale data solutions
- Strong expertise in Snowflake
- Hands-on experience with Python
- Hands-on experience with PySpark
- Hands-on experience with AWS
- Hands-on experience with Airflow
- Experience writing and optimizing complex SQL and PL/SQL queries, procedures, and transformations
- Experience developing Snowflake data warehouses, stored procedures, views, streams, and tasks
- Experience implementing data quality, governance, security, and compliance practices
- Experience with query tuning, performance optimization, and cost optimization in Snowflake
- Experience with CI/CD and DevOps practices for deployment and monitoring
- Experience collaborating with business stakeholders, architects, analysts, and engineering teams
- Experience with large-scale cloud data migration initiatives
- Understanding of enterprise data architecture and modern data platforms
- Experience with structured, semi-structured, and unstructured data
- Experience in banking, financial services, or large enterprise environments
- Experience leading technical discussions and mentoring engineering teams
What We Do
Test Triangle is a Dublin-headquartered technology services company founded in 2012. It helps organizations transform operations through IT service management, digital transformation, software testing and quality assurance, cloud solutions, consulting, managed services, and recruitment. The company also provides application testing, DevOps, robotic process automation, software and mobile development, technology training, staffing, and resource augmentation across Ireland, the UK, and international markets.
