Engineering Manager, Data P-052

April 4

SMASH

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We are dedicated to hiring rockstars for the best jobs on mixed Costa Rican, Colombian and US teams.

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Description

• As a Data Engineering Manager, you will play a key role in designing, implementing, and managing robust data pipelines and infrastructure that power our data-driven initiatives • Leading and mentoring a team of data engineers, fostering a collaborative and high-performing culture • Designing, developing, and maintaining low-latency data pipelines using Apache Spark and Scala, while ensuring data accuracy, reliability, and efficiency • Implementing and optimizing Spark structured streaming to process real-time data and support timely business insights • Optimizing SQL queries and design data structures in data lakes and warehouses to improve overall performance and query efficiency • Fostering cost-consciousness and creative problem-solving in the team to optimize cloud-based solutions and reduce operational expenses • Utilizing your expertise in AWS cloud services and technologies to architect and build robust data solutions on the cloud platform • Leading the successful delivery of non-trivial data products and services, ensuring high-quality standards across all aspects of development and deployment • Collaborating with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to understand data requirements and deliver data solutions aligned with business goals • Staying updated with the latest industry trends and best practices, sharing knowledge and encouraging the team to continuously improve their skills • Fostering a passion for data engineering and our company's mission, instilling a culture of quality, open communication, and continuous learning

Requirements

• Expert Career (10+ Years) • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field • Proven experience in designing and implementing low-latency data pipelines using Spark structured streaming • Solid understanding of optimizing SQL queries and experience with data lake and data warehouse design • Proficiency in AWS cloud services and technologies, with a track record of building scalable solutions on the cloud platform • Prior experience managing and leading a team of data engineers or related roles • Demonstrated ability to build and deliver non-trivial data products and services • A passion for technology and data, with a strong emphasis on quality and continuous improvement • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams • A desire to keep growing your skills, and an ability to learn quickly • We hire for slope, not just y-intercept

Benefits

• Leading and mentoring a team of data engineers, fostering a collaborative and high-performing culture • Implementing and optimizing Spark structured streaming to process real-time data and support timely business insights • Optimizing SQL queries and design data structures in data lakes and warehouses to improve overall performance and query efficiency • Fostering cost-consciousness and creative problem-solving in the team to optimize cloud-based solutions and reduce operational expenses • Utilizing your expertise in AWS cloud services and technologies to architect and build robust data solutions on the cloud platform • Leading the successful delivery of non-trivial data products and services, ensuring high-quality standards across all aspects of development and deployment • Collaborating with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to understand data requirements and deliver data solutions aligned with business goals • Staying updated with the latest industry trends and best practices, sharing knowledge and encouraging the team to continuously improve their skills • Fostering a passion for data engineering and our company's mission, instilling a culture of quality, open communication, and continuous learning