What are the responsibilities and job description for the Senior Data Engineer position at DataStaff, Inc.?
DataStaff Inc. is seeking a Senior Data Engineer for a long-term contract opportunity with one of our direct clients located in the Raleigh, NC area.
*This position is hybrid
Job Description:
We are seeking a skilled mid-level Data Engineer to join our team and focus on quality assurance, quality checking, and ETL processes. The successful candidate will be responsible for ensuring the integrity and accuracy of data transferred from a shared file transfer service to an S3 bucket and subsequently into and through our Snowflake data platform. This data will be utilized by downstream applications and reporting systems. These applications and the corresponding consumed data are critical to business process execution.
Key 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.
Knowledge and Abilities:
- Demonstrated excellence in communication and collaboration abilities.
- Proven capacity to define success, deliver, and operate in an agile setting.
Required 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.
This opportunity is available on a corp-to-corp basis or as a W2 position with a competitive benefits package. DataStaff, Inc. offers medical, dental, and vision coverage options as well as paid vacation, sick, and holiday leave. As many of our opportunities are long-term, we also have a 401k program available for employees after 6 months.
