Data Engineer

About GFT

GFT Technologies is an AI-centric global digital transformation company. We design advanced data and AI transformation solutions, modernize technology architectures, and develop next-generation core systems for industry leaders in Banking, Insurance, Manufacturing, and Robotics. Partnering closely with our clients, we push boundaries to unlock their full potential. With deep industry expertise, cutting-edge technology, and a strong partner ecosystem, GFT delivers responsible AI-centric solutions that combine engineering excellence, high-performance delivery, and cost efficiency. Our team of 12,000+ technology experts operates in 20+ countries worldwide, offering career opportunities at the forefront of software innovation.

About the Position

We are looking for a Data Engineer to design, build, and optimize ingestion pipelines and data transformations for an AWS-based Lakehouse platform in a banking environment. This role focuses on implementing scalable data pipelines using Debezium, MSK, Flink, Python, AWS Lake Formation, and Redshift. The Data Engineer will support the transition from interval-based ingestion to near-real-time data processing, working under the technical direction of the Senior Data Engineer / Data Platform Lead.

Responsibilities

• Build and execute data ingestion pipelines using Debezium, MSK, Flink, and Python.
• Support the transition from hourly batch ingestion to near-real-time ingestion within minutes.
• Implement CDC, streaming, and batch data processing patterns.
• Develop bronze, silver, and gold data transformations within the Lake Formation-based Lakehouse.
• Configure and optimize Redshift tables, schemas, and data loading processes.
• Work with the Senior Data Engineer / Data Platform Lead to ensure pipelines align with platform architecture and design standards.
• Perform data quality checks, validation, reconciliation, and issue investigation.
• Optimize pipeline performance, reliability, scalability, and cost efficiency.
• Collaborate with data architects, engineers, business teams, and banking stakeholders to support reporting and analytics needs.

Requirements

• Strong SQL and Python skills.
• Hands-on experience building scalable data pipelines.
• Experience with data ingestion, ETL/ELT, data transformation, and data processing.
• Experience with CDC, streaming technologies, and near-real-time data pipelines.
• Practical knowledge of AWS data services, Lakehouse architecture, and cloud-based data platforms.
• Experience with Debezium, Kafka/MSK, Flink, AWS Lake Formation, Glue, S3, Athena, or Redshift.
• Strong understanding of data quality validation, reconciliation, and performance optimization.
• Ability to work effectively within a technical engineering team and follow architecture guidance.

Nice to Have

• Experience with Apache Airflow or other orchestration tools.
• Experience with data catalog, lineage, metadata, and governance practices.
• Exposure to Databricks, Snowflake, BigQuery, Synapse, or similar modern data platforms.
• Experience working in Agile delivery teams using Jira and Confluence.

We Offer

• Opportunity to work with some of the brightest people in business and technology on challenging and rewarding projects.
• Collaborative team environment with a family atmosphere in an inclusive work environment.
• Career growth and opportunities for tech talent worldwide.

About the Company

We show commitment to our investors and stand for solid, long-term growth performance. Founded in Germany in 1987 and in American territory since 2008, GFT expanded globally to over 10,000 experts and to more than 15 markets to ensure proximity to clients. With new opportunities from Asia to Brazil, the international growth story continues. We are committed to growing tech talents worldwide. Because our team’s strong consulting and development skills across legacy and pioneering technologies, like GreenCoding, underpin success. We maintain a family atmosphere in an inclusive work environment.

Locations

• Hanoi, VN, 10000
• Ho Chi Minh City, VN, 700000

Work Location Type

• Hybrid

(Note: Due to the high volume of applications we receive, we are unable to respond to every candidate individually. If you have not received a response from GFT regarding your application within 10 workdays, please consider that we have decided to proceed with other candidates. We truly appreciate your interest in GFT and thank you for your understanding)