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Data Integration Specialist

1 month ago

Boston, Massachusetts, United States Saviance Full time
About the Role:

We are seeking a skilled Integration Engineer to join our team at Saviance. As a key member of our data integration team, you will play a crucial role in designing, developing, and maintaining data integration solutions that facilitate the transfer of data between various systems and platforms.

Key Responsibilities:

Design and develop data integration solutions using ETL processes and data pipelines to extract, transform, and load data from source systems to target databases or data warehouses.

Collaborate with cross-functional teams to gather integration requirements and implement solutions that meet business needs.

Develop and maintain ETL processes to ensure data accuracy and quality, and to optimize pipeline efficiency.

Implement data cleansing, validation, and enrichment procedures to ensure data consistency and adherence to data standards.

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 and consistency.

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.

Requirements:

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.