AWS Data engineer, VP

**Job Description:** As a Data Engineer at our company, you will play a crucial role in simplifying our organization by developing innovative data-driven solutions through data pipelines, modeling, and ETL design. Your primary focus will be on creating effortless, digital-first customer experiences while ensuring the safety and security of our customers" data. **Key Responsibilities:** - Build advanced automation of data engineering pipelines by eliminating manual stages - Incorporate new data techniques into the business through role modeling, training, and overseeing experiment design - Provide a clear understanding of data platform costs to meet cost-saving and income targets - Source new data using appropriate tooling - Develop solutions for streaming data ingestion and transformations in alignment with the streaming strategy **Qualifications Required:** - Strong understanding of data usage and dependencies - Minimum 14 years of experience in large-scale data management - Knowledge of data and software engineering fundamentals - Experience in ETL technical design, data quality testing, cleansing, monitoring, sourcing, exploration, and analysis - Proficiency in data warehousing and data modeling - Familiarity with Python, Kafka, Snowflake, AWS Glue, S3, SMUS, Spark SQL, AWS Athena, and data design - Experience working in a governed and regulatory environment - Excellent communication skills and ability to engage with a wide range of stakeholders If you are ready to take on a new challenge and make a significant impact through your work, this Vice President level opportunity as a Data Engineer could be the perfect fit for you. Join us and become the voice of our customers, using data to drive decision-making and deliver exceptional customer value.,