Energize Global Services (EGS)
Banking and Financial Management
DataEngineer
Neural analysis suggests this role is
optimal for mid candidates.
“Data Engineer at Energize Global Services (EGS). Skills: Apache Kafka, Apache Spark, Python, DBT, Airflow, SQL. build and maintain batch and streaming data pipelines. data ingestion”
Industry & Context.
Oriented towards customer needs and problem
private cloud and on-premise environments
What They're Looking For.
Must Have
Apache Kafka, Apache Spark, Python, DBT, Airflow, SQL, SDK, Hands on experience, building data pipelines
Nice to Have
Payments industry, Banking / regermination, Apache Flink, Trino, superset, Oracle SQL, PL/SQL, Qlik Replicate, IBM MQ, Private Cloud/ on Prem
What You'll Do.
build and maintain batch and streaming data pipelines
data quality validation
near real-time processing from multiple data sources
Create data Ingestion/Acquisition and processing pipelines from different sources and environment
Batch ingestion of sources (Oracle
CDC and business event ingestion
near real-time streaming
Schema management and fault tolerance
How You'll Work.
Team & Collaboration
Ability to work quickly and accurately, within a team
Communication Scope
Good communication skills (both written/verbal); Excellent communication skills
Full Job 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. 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 (b
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