Data Engineer - Senior// Local to NC

Engagement Type

Contract

Short Description

Typical Experience: 60-84 months

Complete Description

***The manager would like the candidate to be onsite regularly throughout the position. The amount of onsite time per week will be negotiable. However, weekly onsite time will be required.



Job Summary - Data Engineer:





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.







Qualifications (Knowledge/Skills/Abilities):







- 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.

Required/Desired Skills

Skill	Required/Desired	Amount	of Experience
Demonstrated mid-level+ experience in data engineering, with an emphasis on data quality assurance and ETL processes.	Required	5.0	Years
Expertise in Python, PyPI, and SQL	Required	5.0	Years
Demonstrate a strong understanding of cybersecurity principles related to code development, DevOps, data access, and fundamental cybersecurity.	Required	5.0	Years
Understanding of fundamental public-cloud capabilities.	Required	5.0	Years
Proven capacity to comprehend business needs and convert them into technical requirements.	Required	5.0	Years