Data Engineer at EGS

Yerevan, , Armenia -

Full Time

Start Date

Immediate

Expiry Date

10 Aug, 26

Salary

0.0

Posted On

12 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Kafka, Apache Spark, Python, DBT, Airflow, SQL, SDK, Apache Flink, Trino, Oracle SQL, PL/SQL, Qlik Replicate, IBM MQ, ETL, CDC, Data Pipeline Development

Industry

IT Services and IT Consulting

Description

Company Description With 15+ years of experience in IT, global partners and clients, Energize Global Services (EGS) is a solid, leading-edge Technology Company focused on delivering software services and products for the Banking and Financial Management Industry. We are specialized in developing Banking Systems, all types of payment solutions and other large applications. Over the years EGS proved to be a reliable and trusted partner for the biggest player in the Financial technology industry. Join our team in Yerevan, elevate your career to a new level by becoming part of a team that is shaping the future of Fintech. Job Description 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. Qualifications 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 Additional Information Why Join Us? Competitive compensation and benefits. A collaborative, tech-driven team culture.

Responsibilities

Build and maintain batch and streaming data pipelines across private cloud and on-premise environments. This includes managing data ingestion, ETL transformations, and near real-time processing from multiple sources.