Bottomline Technologies, a global leader in business payments and cash management, is seeking a Data Engineer to design, develop, and maintain data infrastructure and systems. The role involves building data pipelines, working with cloud technologies, and collaborating with data analysts to enhance data quality and reporting
Job Summary
The data engineer is responsible for designing, developing, and maintaining the infrastructure and systems required for data storage, processing, and analysis.
Bring innovation and add value to organisation by implementing AI driven solutions in different projects in Data Engineering area.
The Data Engineer will get to work on best-in-class cloud technologies(Snowflake, Fivetran, AWS, Azure, Salesforce, Airflow etc) and AI projects for Data Engineering Projects.
Matching Summary
Match Score: 85
Bottomline Technologies, a global leader in business payments and cash management, is seeking a Data Engineer to design, develop, and maintain data infrastructure and systems. The role involves building data pipelines, working with cloud technologies, and collaborating with data analysts to enhance data quality and reporting.
Skills & Requirements
Must-have
Design and develop data pipelines
Integrate data from different sources
Transform raw data into usable format
Optimize data pipelines for performance
Implement data quality checks
Experience with SQL and Python/Java
Experience with ETL process and Rest APIs
Nice-to-have
Utilize AI concepts for efficiency
Experience with ETL tools like Talend/Informatica
Knowledge in Apache Kafka/Airflow
Basic knowledge of BI Tools
Basic knowledge of DevOps tools
Key Requirements
Bachelor's degree in computer science or related field
At least four (4) years of work experience
Proven project experience developing data warehouses
Proficiency in modern data architectures and cloud services (AWS, Azure)
Experience with database technologies (SQL, NoSQL, Oracle, Teradata)