Matillion Developer

As a Senior Data Engineer specializing in Matillion ETL and Snowflake, you will play a crucial role in supporting data integration and transformation requirements within the banking and financial services industry. Your primary focus will be on constructing secure and scalable data pipelines that underpin essential functions like regulatory compliance, risk management, and customer analytics. **Key Responsibilities:** - Develop and optimize ETL workflows using Matillion and Snowflake - Create and maintain end-to-end data pipelines using Matillion ETL - Handle banking data such as transactions, compliance, and risk - Collaborate with analysts and business teams to provide data solutions - Ensure data integrity, security, and performance tuning - Assist in cloud-based data integration - Stay abreast of the latest industry trends and updates related to Snowflake & Matillion **Requirements:** - Possess a minimum of 6 years of experience in Data Engineering - Have at least 2 years of hands-on experience in Matillion development, encompassing job orchestration, transformation, CDC (Change Data Capture), and scheduling - Familiarity with Matillion variables, contexts, and environments for deployment management - Proficient in working with Matillion API and automation workflows - Hold a minimum of 3 years of hands-on experience with Snowflake, involving performance tuning, SnowSQL, Snowpipe, etc. - Skilled in connecting Matillion with cloud storage services - Capable of writing and optimizing complex SQL queries, stored procedures, views, etc., for efficient processing - Understanding of cloud platforms (Compute, storage, IAM, etc.) - Proficiency in Python & Bash scripting within Matillion - Knowledge of banking/financial data structures and compliance - Matillion Certified Developer (if available) or relevant Snowflake certifications - Familiarity with Git, CI/CD pipelines for automatic deployment of Matillion jobs In summary, your role as a Senior Data Engineer requires expertise in Matillion ETL, Snowflake, SQL, Python, Bash scripting, and a deep understanding of banking/financial data to effectively support data integration and transformation within the banking and financial services sector.,