Overview VTG is seeking a skilled Data Engineer with at least 5 years of experience designing, building, and maintaining scalable data pipelines and architectures. The ideal candidate will have strong expertise in data integration, ETL/ELT processes, and cloud-based data platforms, with a focus on delivering high-quality, reliable data solutions that support analytics and business decision-making. What will you do? • Design, develop, and maintain scalable data pipelines and workflows (ETL/ELT) • Build and optimize data architectures, including data lakes, data warehouses, and data marts • Ingest, process, and transform large volumes of structured and unstructured data • Ensure data quality, integrity, and reliability across systems • Collaborate with data analysts, data scientists, and business stakeholders to define data requirements • Implement data governance, security, and compliance best practices • Optimize data storage, query performance, and cost efficiency in cloud environments • Monitor and troubleshoot data pipeline performance and failures • Maintain documentation for data flows, systems, and processes Do you have what it takes? • Active TS/SCI with Polygraph required. • Bachelor’s degree in computer science, Software Engineering, or related field. • 5+ years of experience in data engineering or a related field • Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) • Experience with big data processing frameworks (e.g., Spark, Hadoop) • Hands-on experience building ETL/ELT pipelines using tools such as Apache Airflow, Informatica, or similar • Experience with cloud data platforms (AWS, Azure, or GCP) • Proficiency in programming languages such as Python, Scala, or Java • Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) • Strong understanding of data modeling concepts (star/snowflake schemas)