Senior Software Engineer - Data Platform

Key Skills

Algorithms, Apache Beam, AWS, Big Data Technology, GoLang, Google BigQuery, Google Bigtable, Google Cloud Platform (GCP), Machine learning techniques, Python Programming, Spark Core

Job Description

Here at ShyftLabs, we are seeking exceptional Software Engineers to join us in building a state-of-the-art mobile advertising platform. We understand the value of a strong engineering team and strive to hire only the best software engineers. While tackling challenging real-world problems, you will make a positive impact on millions of mobile users in the world and grow with our innovative company.

ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities:

• Turn unstructured logs, messages, and events into structured data that can be utilized for analytics, machine learning, and more.
• Implement backend data pipelines for manipulating and managing big data.
• Optimize data processing pipelines with different goals including latency, cost, and throughput.
• Improve existing data pipelines in terms of scalability and efficiency.
• Design and implement fraud prevention/detection algorithms through analyzing complex time-series data.
• Drive mission critical projects with direct impact on the evolution of the business
• Innovate with cross-functional agile team that continuously experiments, iterates and delivers on new product objectives

Qualifications:

• BS in Computer Science or related fields 
• 6+ years of hands-on industry experience in software development on data infrastructure or platform
• Experience building data pipelines that process big data (terabytes worth)
• Excellent software development skills and fluency in at least one programming language (preferably Java, Golang (Go), or Python)
• Outstanding problem-solving skills and strategic planning
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.) 
• A personable and collaborative approach to problem solving

We are proud to offer a competitive salary alongside a strong healthcare insurance and benefits package. The role is preferably hybrid, with 2 days per week spent in office. We pride ourselves on the growth of our employees, offering extensive learning and development resources.