Overview
On Site
$50 - $60
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
100% Travel
Skills
Data Flow
Data Quality
Cloud Computing
Extract
Transform
Load
Google Cloud
Good Clinical Practice
Cloud Storage
Git
Python
SQL
Scripting
Security Architecture
Workflow
Data Governance
Job Details
Only locals
Job Description:
Design, architect, and implement scalable and secure data pipelines on Google Cloud Platform, utilizing services like Dataflow, Pub/Sub, and Cloud Storage.
Develop and maintain data models, ensuring data quality, consistency, and accessibility for various internal stakeholders.
Automate data processes and workflows using scripting languages like Python, leveraging technologies like Spark and Airflow.
Monitor and troubleshoot data pipelines, identifying and resolving performance issues
proactively.
Stay up to date with the latest trends and advancements in Google Cloud Platform and related technologies, actively proposing and evaluating new solutions.
Implement data governance best practices, including data security, access control, and lineage tracking.
Lead security initiatives, design and implement security architecture.
Lead data quality initiatives, design and implement monitoring dashboards.
Mentor and guide junior data engineers, sharing knowledge and best practices to foster a high-performing team.
Role requires a solid educational foundation and the ability to develop a strategic vision and roadmap for D&A s transition to the cloud while balancing delivery of near-term results that are aligned with execution.
What experience you need
8+ years of experience as a data engineer or related role, with experience demonstrating leadership capabilities
Cloud certification strongly preferred
Expert level skills using programming languages such as Python or SQL and advanced level experience with scripting languages.
Demonstrated proficiency in all Google Cloud Services
Experience building and maintaining complex data pipelines, troubleshooting complex issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects; Proficiency in Airflow strongly desired
Experience designing and implementing advanced to complex data models and experience enabling advanced optimization to improve performance
Experience leading a team with Git expertise strongly preferred
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.