11/25/2024 updated
SU
100 % available
Experienced Big Data Developer and ETL Engineer
Dublin, Ireland
Worldwide
Masters in Data Science & AnalyticsC (Programming Language)HTMLJava (Programming Language)JavaScript (Programming Language)Amazon Web ServicesMicrosoft AzureBanking ServicesBig DataCloud ComputingCloudera ImpalaDatabasesData IntegrationExtract Transform Load (ETL)Data QualityData VisualizationData WarehousingSpring FrameworkPython (Programming Language)PostgreSQLMongoDBMySQLNeo4jNoSQLPower BISoftware EngineeringSQL DatabasesTableau (Software)TalendTypeScriptWeb ServicesData ProcessingApache SparkGitSoftware Version ControlDatabase AdministrationProgramming Languages
Big Data Development
Expertise in developing and optimizing big data pipelines using Talend and Apache Spark for large-scale data integration and processing projects.
Java Development
Proficiency in Java-based application development, contributing to components and web services for high-performance banking solutions.
Data Processing Frameworks
Strong background in data reconciliation and large data processing, utilizing frameworks such as Spark, Impala, and Spring Framework.
Programming Languages
Proficiency in multiple programming languages including Java, Python, C, JavaScript, TypeScript, and HTML.
Database Management
Experience with various databases including SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Neo4j), and data warehousing solutions.
Data Visualization
Skills in data visualization and reporting using tools such as Tableau, Power BI, and MS Excel.
Cloud & Version Control
Familiarity with cloud platforms like AWS and Azure, as well as version control systems such as Git.
ETL Development
Expertise in ETL development, data reconciliation, and data quality management.
Expertise in developing and optimizing big data pipelines using Talend and Apache Spark for large-scale data integration and processing projects.
Java Development
Proficiency in Java-based application development, contributing to components and web services for high-performance banking solutions.
Data Processing Frameworks
Strong background in data reconciliation and large data processing, utilizing frameworks such as Spark, Impala, and Spring Framework.
Programming Languages
Proficiency in multiple programming languages including Java, Python, C, JavaScript, TypeScript, and HTML.
Database Management
Experience with various databases including SQL (MySQL, PostgreSQL), NoSQL (MongoDB, Neo4j), and data warehousing solutions.
Data Visualization
Skills in data visualization and reporting using tools such as Tableau, Power BI, and MS Excel.
Cloud & Version Control
Familiarity with cloud platforms like AWS and Azure, as well as version control systems such as Git.
ETL Development
Expertise in ETL development, data reconciliation, and data quality management.
Languages
EnglishFluent
Project history
Developed and optimized Big Data pipelines using Talend and Apache Spark for large-scale data integration and processing projects. Contributed to Java-based application components and web services for banking solutions. Led data ingestion efforts using Java, Impala, and Spark. Conducted data reconciliation and quality checks for large data sets.