Data Engineer

Financial Services firm looking for a heavy hitting Data engineer where some of your Key Responsibilities will include: * Develop new pipelines based on business needs or to improve the current system. * Maintain existing data pipelines, anticipating and addressing issues promptly and professionally. * Monitor critical processes effectively. * Collaborate with various business units to define project requirements for pipelines and ETL. Essential Skills and Qualifications * Technical Proficiency: Expertise in SQL (Postgres, Athena Presto SQL) and proficiency in Python for building and managing data pipelines. * AWS Experience: Skilled in using serverless architecture, including Lambda, Glue, Step Functions, SNS, SQS, and S3. * Data Engineering Expertise: Over 2 years of experience in data engineering, creating data pipelines in a cloud environment, with a solid understanding of best practices. * Effective Communication: Ability to clearly convey and gather requirements from non-technical business stakeholders. * Deployment and Documentation: Proficient in controlled deployment and documentation practices using GitHub, ensuring changes are tested, approved, and easily understood by all. Desirable Skills * Infrastructure Automation: Experience with Terraform for new infrastructure and CloudFormation for legacy systems. * iPaaS Knowledge: Familiarity with Integration Platform as a Service, particularly MuleSoft, is a plus