Sr Software Engineer

Job Description

—- What the Candidate Will Do —-

Design, build and own scalable data products and platforms that power business analytics, ML models and decision-making across the Delivery organization.

Lead the architecture and development of batch and real-time data pipelines that process large-scale datasets while ensuring reliability, scalability and maintainability.

Drive the design and standardization of canonical datasets and business metrics used across multiple teams.

Partner closely with product engineering, data science, ML and product teams to translate business requirements into robust data solutions.

Lead initiatives focused on data quality, data governance, and data reliability, ensuring high standards across critical data assets.

Drive performance optimizations and cost efficiency for large-scale data processing systems while maintaining strict SLA commitments.

Influence and establish data engineering best practices, design patterns and technical standards across teams.

Mentor junior engineers and contribute to technical leadership within the data engineering community.

Basic Qualifications

Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

Strong programming experience in one or more general-purpose languages such as Java, Python, Go, or similar.

Experience building and operating large-scale data pipelines and distributed data processing systems.

Strong hands-on experience with modern data technologies such as Spark, Hive, Presto/Trino or similar distributed data frameworks.

Experience designing and working with data warehouses, dimensional data models and large-scale analytical datasets.

Strong understanding of data pipeline reliability, performance optimization, and data quality management.

Experience collaborating across teams to design scalable data solutions for complex business problems.

Preferred Qualifications

Master’s degree in Computer Science or a related technical field, or equivalent practical experience.

Experience designing end-to-end data architectures and large-scale data platforms supporting analytics and ML workloads.

Experience working with real-time data streaming systems (e.g., Kafka, Flink, or similar technologies).

Demonstrated experience driving technical initiatives across teams and influencing data engineering best practices.

Experience mentoring engineers and contributing to technical leadership within engineering teams.

Domain experience in marketplace, logistics, or delivery platforms is a plus.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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