Saviance
Integration (Data) Engineer
Saviance, Boston, Massachusetts, us, 02298
Job Title: Integration (Data) EngineerLocation: Mexico
Duration: 3+ months
About Job:
We are seeking a talented Integration Engineer with a strong background in data integration, ETL (Extract, Transform, Load) processes, and data pipelines. The Integration Engineer will play a crucial role in ensuring the seamless flow of data between various systems, applications, and databases within our organization. The ideal candidate is detail-oriented, technically skilled, and possesses excellent problem-solving abilities.
Key Responsibilities:Design, develop, and maintain data integration solutions that facilitate the transfer of data between different systems and platforms.Collaborate with cross-functional teams to gather integration requirements and implement solutions that meet business needs.Develop ETL processes to extract, transform, and load data from source systems to target databases or data warehouses.Implement data cleansing, validation, and enrichment procedures to ensure data accuracy and quality.Build and manage data pipelines for ingesting, processing, and delivering data to various downstream applications or analytics platforms.Monitor pipeline performance, troubleshoot issues, and optimize pipeline efficiency.Perform data transformations and manipulations to ensure data compatibility, consistency, and adherence to data standards.Implement data mapping, data conversion, and data enrichment as required.Integrate with external APIs and third-party data sources to retrieve and synchronize data in real-time or batch modes.Handle API authentication, error handling, and data synchronization challenges.Work with various database technologies to retrieve, update, and manipulate data as needed for integration processes.Optimize database queries and operations for performance and scalability.Maintain comprehensive documentation of integration processes, data flows, and ETL workflows.Provide clear documentation for troubleshooting, maintenance, and knowledge sharing.Perform thorough testing of data integration solutions to identify and resolve errors, inconsistencies, and issues.Collaborate with QA teams to ensure data accuracy and quality throughout the integration process.Collaborate with software developers, data analysts, and business stakeholders to understand integration requirements and priorities.Communicate project status, challenges, and solutions effectively to both technical and non-technical team members.Qualifications and Skills:
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).Proven experience in data integration, ETL development, and data pipeline management.Proficiency in programming languages such as Python, Java, or Scala for data manipulation and scripting.Strong understanding of relational databases, SQL, and database design principles.Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow, Talend, Informatica).Experience with API integration and working knowledge of RESTful APIs.Knowledge of data warehousing concepts and technologies is a plus.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.
Duration: 3+ months
About Job:
We are seeking a talented Integration Engineer with a strong background in data integration, ETL (Extract, Transform, Load) processes, and data pipelines. The Integration Engineer will play a crucial role in ensuring the seamless flow of data between various systems, applications, and databases within our organization. The ideal candidate is detail-oriented, technically skilled, and possesses excellent problem-solving abilities.
Key Responsibilities:Design, develop, and maintain data integration solutions that facilitate the transfer of data between different systems and platforms.Collaborate with cross-functional teams to gather integration requirements and implement solutions that meet business needs.Develop ETL processes to extract, transform, and load data from source systems to target databases or data warehouses.Implement data cleansing, validation, and enrichment procedures to ensure data accuracy and quality.Build and manage data pipelines for ingesting, processing, and delivering data to various downstream applications or analytics platforms.Monitor pipeline performance, troubleshoot issues, and optimize pipeline efficiency.Perform data transformations and manipulations to ensure data compatibility, consistency, and adherence to data standards.Implement data mapping, data conversion, and data enrichment as required.Integrate with external APIs and third-party data sources to retrieve and synchronize data in real-time or batch modes.Handle API authentication, error handling, and data synchronization challenges.Work with various database technologies to retrieve, update, and manipulate data as needed for integration processes.Optimize database queries and operations for performance and scalability.Maintain comprehensive documentation of integration processes, data flows, and ETL workflows.Provide clear documentation for troubleshooting, maintenance, and knowledge sharing.Perform thorough testing of data integration solutions to identify and resolve errors, inconsistencies, and issues.Collaborate with QA teams to ensure data accuracy and quality throughout the integration process.Collaborate with software developers, data analysts, and business stakeholders to understand integration requirements and priorities.Communicate project status, challenges, and solutions effectively to both technical and non-technical team members.Qualifications and Skills:
Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience).Proven experience in data integration, ETL development, and data pipeline management.Proficiency in programming languages such as Python, Java, or Scala for data manipulation and scripting.Strong understanding of relational databases, SQL, and database design principles.Familiarity with ETL tools and frameworks (e.g., Apache NiFi, Apache Airflow, Talend, Informatica).Experience with API integration and working knowledge of RESTful APIs.Knowledge of data warehousing concepts and technologies is a plus.Excellent problem-solving skills and attention to detail.Strong communication and teamwork abilities.