Data Engineer - Senior

• Quality Assurance & Quality Checking: Implement and maintain data quality to ensure the accuracy and reliability of data throughout the ETL process.
• ETL Processes: Design, develop, and optimize ETL workflows to efficiently transfer data from file transfer services to S3 buckets and Snowflake.
• Data Integration: Ensure seamless data integration into data platform, enabling efficient consumption by downstream applications and reporting tools.
• Data Quality Management: Address data quality challenges, including inconsistencies in source data that do not meet ingestion requirements, which can lead to load failures or data backouts.
• Collaboration: Work closely with business owners, data analysts, business intelligence teams, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Monitoring & Troubleshooting: To preserve data flow and integrity, monitor pipelines, identify issues, and implement solutions.

Mandatory Skills: * 5 years- Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes.

• 5 years- Expertise in Python, PyPI, and SQL
• 5 years- Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.
• 5 years- Understanding of fundamental public-cloud capabilities.
• 5 years- Proven capacity to comprehend business needs and convert them into technical requirements.
• Demonstrated mid-level+ experience in data engineering, with a emphasis on data quality assurance and ETL processes.
• Expertise in Python, PyPI, and SQL
• Expert analytical and problem-solving skills.
• Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.
• Understanding of fundamental public-cloud capabilities.
• Proven capacity to comprehend business needs and convert them into technical requirements.
• Demonstrated excellence in communication and collaboration abilities.
• Proven capacity to define success, deliver, and operate in an agile setting.