Integration (Data) Engineer

2 weeks ago

Boston, United States Saviance Full time
Job Title: Integration (Data) Engineer
Location: 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.

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