Roles/Responsibilities:
- 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.
Desirable Skills: N/A
Roles/Responsibilities: 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 bucke...
Roles/Responsibilities:
- 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.
Desirable Skills: N/A
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