Data Integration Engineer II

Job Summary:

A Data Integration Engineer is responsible for designing, developing, and maintaining data integration solutions within an organization. They work closely with various stakeholders, including business analysts, data scientists, and software developers, to ensure the smooth flow of data between different systems, databases, and applications. Their primary objective is to create efficient, reliable, and scalable data integration pipelines that enable accurate data analysis and reporting.

Responsibilities:

Data Integration Engineer is responsible for designing, developing, and maintaining data integration solutions within an organization

Skills Requirements:

Technical Skills:

• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data integration tools and technologies, such as Apache Kafka, Apache Nifi, or Talend.
• Familiarity with SQL and working knowledge of relational databases like MySQL, Oracle, or SQL Server.
• Understanding of data modeling and ETL (Extract, Transform, Load) processes.
• Knowledge of data warehousing concepts and technologies.
• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Familiarity with API development and integration.
• Understanding of data quality and data governance principles.

Analytical and Problem-Solving Skills:

• Ability to analyze complex data integration requirements and translate them into effective technical solutions.
• Strong problem-solving skills to identify and resolve data integration issues.
• Attention to detail to ensure data accuracy and integrity.

Education Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience).