Metova, Inc.

• Design, develop, and implement end-to-end systems (ETL, APIs, and integrated applications) • Build scalable ETL pipelines for high-volume batch and real-time data processing • Develop applications using Java, Python, and Spring-based frameworks • Design and maintain RESTful APIs and API documentation (Swagger/OpenAPI) • Integrate messaging and streaming solutions (e.g., ActiveMQ, RabbitMQ) • Apply object-oriented principles and troubleshoot across application and data layers • Containerize and deploy solutions using Docker/Kubernetes in cloud environments (AWS/Azure) • Ensure application security using OWASP standards and best practices • Collaborate with clients to gather requirements and deliver technical solutions • Produce technical documentation, system designs, and process flows • Support testing, deployment, and continuous improvement efforts

Role Description We are looking for a Senior Developer / Systems & ETL Engineer — a senior-level polyglot engineer capable of working across the full technology stack, from ETL and data engineering to modern application development and cloud-native delivery. In this role, you will lead the design and implementation of scalable information processing systems, combining strong data expertise with application and API development. You will work independently, drive complex initiatives, and act as a key technical point of contact for client engagements. Key Responsibilities: - Design, develop, and implement end-to-end systems (ETL, APIs, and integrated applications) - Build scalable ETL pipelines for high-volume batch and real-time data processing - Develop applications using Java, Python, and Spring-based frameworks - Design and maintain RESTful APIs and API documentation (Swagger/OpenAPI) - Integrate messaging and streaming solutions (e.g., ActiveMQ, RabbitMQ) - Apply object-oriented principles and troubleshoot across application and data layers - Containerize and deploy solutions using Docker/Kubernetes in cloud environments (AWS/Azure) - Ensure application security using OWASP standards and best practices - Collaborate with clients to gather requirements and deliver technical solutions - Produce technical documentation, system designs, and process flows - Support testing, deployment, and continuous improvement efforts Qualifications - Bachelor’s degree in Computer Science or 4+ years of equivalent experience - 5+ years of hands-on experience across multiple technologies - Strong programming skills in Java, Python, SQL (C or Perl is a plus) - Solid understanding of OOP concepts and data structures - Experience with Spring Boot, Spring Integration, or similar frameworks - Proven experience designing and developing RESTful APIs - Hands-on experience with Docker and/or Kubernetes - Knowledge of cloud-native architectures (AWS and/or Azure) - Experience with messaging systems (ActiveMQ, RabbitMQ, or similar) - Strong debugging and problem-solving skills across systems - Experience with ETL development and data warehousing/data marts - Proficiency in SQL and PL/SQL for data manipulation - Experience with RDBMS (Oracle, SQL Server, MySQL, PostgreSQL) - Familiarity with schema-on-read platforms (Snowflake, Redshift, Hadoop, Athena, Synapse) - Experience working in UNIX/Linux environments - Knowledge of application security (OWASP, CVE remediation) - Experience creating technical documentation and process flow diagrams Core Competencies - Ability to design systems end-to-end (data ingestion to API and deployment) - Strong ownership and ability to manage multiple projects independently - Effective communication with technical and business stakeholders - Analytical mindset with strong problem-solving skills - High adaptability in fast-paced environments Nice to Have - Advanced PL/SQL and Oracle analytic functions - Experience with microservices architecture and CI/CD pipelines - Knowledge of BI tools (Cognos, QlikView, MicroStrategy, Business Objects) - Experience with marketing data or campaign management platforms - Background in dimensional modeling (star schema)

Role Description We are looking for an experienced Oracle DBA / Data Processing Specialist who combines strong database administration expertise with hands-on data processing capabilities. In this role, you will be responsible for ensuring the stability, performance, and availability of Oracle production environments, while executing and delivering accurate client data in a fast-paced marketing data setting. This position requires a highly reliable, detail-oriented professional who can effectively manage multiple priorities. - Administer and monitor Oracle production databases (logs, backups, performance, and security) - Manage users, access controls, patching, and database recovery processes - Develop and optimize database objects (PL/SQL, SQL tuning) - Analyze performance using AWR, ADDM, and execution plans - Execute data processing tasks: data loading, transformation, validation, and client delivery - Ensure data quality through QC processes, documentation, and reporting - Support development teams and respond to client data requests - Participate in change management, disaster recovery planning, and process improvements Qualifications - 3+ years of hands-on experience as an Oracle DBA in production environments - Strong proficiency in PL/SQL (procedures, functions, triggers, packages) - Experience working with UNIX/Linux and shell scripting - Solid knowledge of Oracle Data Guard, RAC, and OEM - SQL tuning and performance analysis - AWR and ADDM tools - RMAN backup and recovery - Oracle security patching (quarterly cycles) - Table, index, and schema design - Experience handling client data files (loading, transformation, vendor transfers) - Background in technical documentation and data quality control Core Competencies - Strong attention to detail and data accuracy - Ability to manage multiple priorities in a fast-paced environment - Effective communication with technical teams and clients - Highly organized and self-directed - Proactive mindset with continuous learning approach Nice to Have - Experience with cloud or hybrid Oracle environments - Knowledge of SQL Server or PostgreSQL

• Participate in cross-functional meetings to define project objectives and scope. • Analyze and prioritize business requirements related to data. • Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). • Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). • Write clean, efficient, and scalable code, adapting to new technologies as needed. • Implement data quality methodologies throughout ingestion and transformation processes. • Optimize services, queries, and processes to reduce operational costs and improve performance. • Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.

We are looking for a Data Engineer responsible for designing, developing, and optimizing data processing solutions, ensuring quality, scalability, and security in software products. This role directly contributes to meeting timelines, scope, and technical standards by applying best practices in data engineering. Responsibilities - Participate in cross-functional meetings to define project objectives and scope. - Analyze and prioritize business requirements related to data. - Design and develop data extraction, transformation, and loading pipelines (ETL/ELT). - Develop applications for extracting data from various sources and formats (JSON, XML, PDF, etc.). - Write clean, efficient, and scalable code, adapting to new technologies as needed. - Implement data quality methodologies throughout ingestion and transformation processes. - Optimize services, queries, and processes to reduce operational costs and improve performance. - Validate the functionality, integrity, and security of data engineering processes.