Full-Time Data Engineer

We're an award-winning data, media, and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800+ clients. We love getting them the most ROI from their digital marketing. If you’re up for the challenge, join us. Let’s move fearlessly forward together.

Adswerve is looking for a skilled Data Engineer to join our team! In this role, you'll design and build scalable data architectures, develop and maintain efficient ELT pipelines on Google Cloud Platform, and collaborate with stakeholders to turn business needs into powerful data solutions.

Responsibilities:

• Develop scalable and efficient data architectures to support enterprise applications, analytics, and reporting.
• Design, develop, and maintain efficient and scalable ELT pipelines on the Google Cloud Platform.
• Partner with business stakeholders to understand their business needs and data requirements, and translate those needs into clear, actionable technical solutions.
• Create and maintain detailed documentation, including architecture diagrams, standards, and models.
• Ensure data security, integrity, and availability across the organization.
• Manage, maintain and develop custom built ELT pipelines for systems unsupported by the organizations integration platform.
• Manage, maintain and optimize the data infrastructure on the Google Cloud Platform.
• Implement and manage data validation and quality check to ensure accuracy, consistency and completeness of data across pipelines.
• Set up and manage monitoring and alerting for data pipelines and infrastructure to proactively identify failures and performance issues.

Experience:

• Extensive experience with Google Cloud Platform (GCP) services, including BigQuery, Dataform, Cloud Storage, Cloud Functions, Cloud Composer, Dataflow, and Pub/Sub.
• In-depth understanding of SQL, including the optimization of queries and data transformations.
• Comfortable with Javascript and Python programming languages.
• Excellent communication and collaboration skills.
• Solid understanding of data warehouse, data modeling and data design concepts.
• Experience with ELT processes and data transformation techniques.
• Experience with version control systems (e.g., Git).
• Strong analytical and problem-solving skills.
• Proven track record of managing workloads to consistently meet project deadlines.

Compensation: $100,000 to $120,000 per year.

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