Senior Data Engineer - Latam

August 1

Apply Now

Receive Emails with Similar Jobs

Topsort

WebsiteLinkedInAll Job Openings

eCommerce • Advertising • SaaS

Topsort is a leading retail media platform providing comprehensive solutions for marketplaces, agencies, and brands to optimize ad campaigns with AI-based infrastructure. Their services include an ad server optimized for efficient bidless ad delivery, sponsored listings, display ads, and video ads. Topsort empowers retailers and marketplaces by enabling them to monetize and scale their ad businesses quickly and effectively, even in a cookie-less environment. With a focus on e-commerce integration, Topsort supports a wide range of industries including travel, grocery delivery, and home improvement, among others, across multiple global regions.

51 - 200 employees

🛍️ eCommerce

☁️ SaaS

💰 $8.5M Seed Round on 2022-03

📋 Description

• As a Senior Data Engineer, you will be responsible for designing, building, and maintaining scalable data infrastructure and pipelines. • You will collaborate with cross-functional teams to ensure the availability, reliability, and efficiency of data systems, enabling data-driven decision-making across the organization. • Design, develop, and maintain robust ETL/ELT pipelines to process and transform large datasets efficiently. • Optimize data architecture and storage solutions to support analytics, machine learning, and business intelligence. • Work with cloud platforms (AWS) to implement scalable data solutions. • Ensure data quality, integrity, and security across all data pipelines. • Collaborate with data scientists, analysts, and software engineers to support data-driven initiatives. • Monitor and troubleshoot data workflows to ensure system performance and reliability. • Create APIs to provide analytical information to our clients.

🎯 Requirements

• 5+ years of experience in data engineering or a related field. • Strong proficiency in SQL and database technologies with (e.g., PostgreSQL, MySQL, Snowflake, BigQuery). • Experience with data pipeline orchestration tools (e.g., Apache Airflow, Prefect, Dagster). • Proficiency in programming languages such as Python and Scala. • Hands-on experience with AWS cloud data services. • Familiarity with big data processing frameworks like Apache Spark. • Knowledge of data modeling, warehousing concepts, and distributed computing. • Experience implementing CI/CD for data pipelines. • Real-time data processing and streaming architectures (RisingWave, Kafka, Flink). • Database performance tuning and query optimization. • Strong problem-solving skills and the ability to work independently and collaboratively. • ETL/ELT pipeline development and automation. • Cloud computing and infrastructure management on AWS (nice to have).