

Data Engineer
EGS3
We are seeking a Data Engineer with strong experience in Apache Kafka, Apache Spark, Python, DBT, Airflow, and SQL to build and maintain batch and streaming data pipelines across private cloud and on-premise environments. The role involves data ingestion, ETL transformations, data quality validation, CDC/event streaming, and near real-time processing from multiple data sources. Experience in Payments or Banking domains is preferred, along with hands-on expertise in modern data engineering and pipeline development. Knowledge of technologies such as Apache Flink, Trino, Oracle SQL/PLSQL, IBM MQ, and Qlik Replicate is a plus.
Must Have Skills
- Apache Kafka, Apache Spark, Python, DBT, Airflow, SQL, SDK
- Domain : Work experience in Payments industry(Preferred) or Banking / regermination
- Hands on experience, building data pipelines
Nice to have: Apache Flink Trino, superset, Oracle SQL,PL/SQL, Qlik Replicate, IBM MQ,
Private Cloud/ on Prem*
Responsibilities
- Create data Ingestion/Acquisition and processing pipelines from different sources and environment
- Batch Engineering: Batch ingestion of sources (Oracle, PostgreSQL, files), ETL transformations, data quality checks, and unit testing.
- Streaming Engineering: -CDC and business event ingestion - near real-time streaming - Schema management and fault tolerance.
Soft skills
- Good communication skills (both written/verbal) mandatory
- Oriented towards customer needs and problem solving;
- Willingness to understand and master very complex business applications
- Ability to work quickly and accurately, within a team, or on an individual basis, under pressure with tight deadlines
- Excellent communication skills
Why Join Us?
- Competitive compensation and benefits.
- A collaborative, tech-driven team culture.

