Google Cloud Platform Data Engineer - Direct Client - Banking - Remote - W2
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Outcome Logix LLC, is seeking the following. Apply via Dice today!
Responsibilities
⢠Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (Google Cloud Platform) services
⢠Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
⢠Build and maintain data architecture to support the new data product
⢠Optimize and enhance data processing workflows for performance, reliability, and scalability
⢠Ensure data quality, integrity, and security throughout the data lifecycle
⢠Monitor and troubleshoot data pipelines and systems to ensure smooth operation
⢠Document technical specifications, processes, and workflows for future reference and knowledge sharing
Qualifications
⢠Experience
⢠Realtime and batch data integration development experience using Google Cloud Platform services
⢠Experience extracting, transforming, and loading data from various types of sources
⢠Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role
⢠Preferred: financial services industry experience
⢠Technical skills
⢠SQL
⢠Google BigQuery
⢠Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)
⢠Google Cloud Composer
⢠Google Cloud Run
⢠GitHub
⢠Python
⢠Teraform
Preferred
⢠DBT Open Source
⢠Google Pub/Sub
⢠Salesforce data integration experience
⢠Oracle/SQL server data integration experience
⢠Soft Skills
⢠Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders
⢠Strong personality and polished presence, capable of driving collaboration and alignment across teams
⢠Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives
⢠Work Environment
⢠Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles
⢠Ability to work effectively in a fast-paced, collaborative prefer
Apply Now
Responsibilities
⢠Design, develop, and implement scalable data pipelines and associated processes using Google Cloud Platform (Google Cloud Platform) services
⢠Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
⢠Build and maintain data architecture to support the new data product
⢠Optimize and enhance data processing workflows for performance, reliability, and scalability
⢠Ensure data quality, integrity, and security throughout the data lifecycle
⢠Monitor and troubleshoot data pipelines and systems to ensure smooth operation
⢠Document technical specifications, processes, and workflows for future reference and knowledge sharing
Qualifications
⢠Experience
⢠Realtime and batch data integration development experience using Google Cloud Platform services
⢠Experience extracting, transforming, and loading data from various types of sources
⢠Demonstrated ability to lead projects and teams, with experience as a technical lead or similar leadership role
⢠Preferred: financial services industry experience
⢠Technical skills
⢠SQL
⢠Google BigQuery
⢠Google Cloud Data Pipeline Tools (such as Google Cloud Datastream, DataFlow etc.)
⢠Google Cloud Composer
⢠Google Cloud Run
⢠GitHub
⢠Python
⢠Teraform
Preferred
⢠DBT Open Source
⢠Google Pub/Sub
⢠Salesforce data integration experience
⢠Oracle/SQL server data integration experience
⢠Soft Skills
⢠Exceptional communication and interpersonal skills, with the ability to engage and influence business stakeholders
⢠Strong personality and polished presence, capable of driving collaboration and alignment across teams
⢠Thought leadership and ability to inspire teams and stakeholders in data transformation initiatives
⢠Work Environment
⢠Familiarity with Agile methodologies, including participation in daily stand-ups and iterative development cycles
⢠Ability to work effectively in a fast-paced, collaborative prefer
Apply Now