• Design, build, deploy, test, and maintain highly scalable data management systems and ETL pipelines
• Ensure compliance with data privacy and security regulations
• Implement processes and systems to monitor data quality, ensuring production data remains accurate and accessible to key stakeholders
• Collaborate closely with team members, including data analysts and business analysts, to fulfill data requirements

• Minimum of 3 years of experience in Data Engineering, specializing in building and optimizing scalable data pipelines
• Experience with Airflow for orchestration
• Strong proficiency in working with databases, particularly Amazon Redshift and PostgreSQL
• Hands-on experience with cloud technologies, especially AWS (e.g., S3, EC2, RDS)
• Proven experience in extracting data from third-party APIs and SFTP servers

At Vention, we assemble senior-level, dedicated teams of developers to help fast-growing startups and innovative enterprises drive impact and achieve their goals. We’ve delivered solutions across multiple domains, including FinTech, PropTech, AdTech, HealthTech, e-commerce, and more.

Our Data team works with clients to create data platforms from scratch or modify and update existing platforms. The tech stack depends on the project, but we mainly use Spark (along with Scala, Python, or Java) – as well as Apache Kafka, Apache Cassandra, Apache Hadoop, Apache Parquet, and AWS.

Internal knowledge transfer activities are conducted within the Data Engineering Family (which includes data practice & data competency) – it is a space for all of our specialists to share their experiences, learn new skills, host meetups, mentor others, and more.