Data Engineer - Senior
Data Engineer - Senior
Posted on :
26-03-2025
Employer Active
1 Vacancy
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Job Description
Job Summary Data Engineer:
- We are seeking a skilled midlevel 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 .
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 highquality data solutions.
- Monitoring & Troubleshooting: To preserve data flow and integrity monitor pipelines identify issues and implement solutions.
Qualifications (Knowledge/Skills/Abilities):
- Demonstrated midlevel experience in data engineering with a emphasis on data quality assurance and ETL processes.
- Expertise in Python PyPI and SQL
- Expert analytical and problemsolving skills.
- Demonstrate a strong understanding of cybersecurity principles related to code development DevOps data access and fundamental cybersecurity.
- Understanding of fundamental publiccloud 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.
Skill
Required / Desired
Amount
of Experience
Demonstrated midlevel experience in data engineering with an emphasis on data quality assurance and ETL processes.
Expertise in Python PyPI and SQL
Demonstrate a strong understanding of cybersecurity principles related to code development DevOps data access and fundamental cybersecurity.
Understanding of fundamental publiccloud capabilities.
Proven capacity to comprehend business needs and convert them into technical requirements.
Employment Type
Full Time
Key Skills
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