Data Integration Engineer

Overview

We are seeking an experienced Data Integration Engineer to design, develop, and implement cloud-based data integration solutions. The ideal candidate will have over 5 years of hands-on experience with data integration tools and cloud platforms (AWS, GCP, or Azure), strong proficiency in SQL, and familiarity with databases like BigQuery, Redshift, or Snowflake. Key responsibilities include optimizing workflows, maintaining systems, ensuring data quality, and collaborating with cross-functional teams. Excellent problem-solving, communication, and collaboration skills are essential.

Job Description

Key Responsibilities:

Design, develop, and implement data integration solutions using cloud-based tools.

Collaborate with cross-functional teams to understand data requirements and ensure seamless integration.

Optimize and troubleshoot data integration workflows to ensure high performance and reliability.

Maintain and update data integration systems to accommodate new data sources and changing business needs.

Document data integration processes and provide training to team members as needed.

Ensure data quality and integrity through rigorous testing and validation procedures.

Stay current with emerging trends and technologies in data integration and cloud services.

Qualifications:

Minimum of 5 years of hands-on experience with cloud-based data integration tools.

Proven experience in data integration, ETL processes, and data warehousing.

Proficiency with cloud platforms such as AWS, Google Cloud Platform, or Azure.

Strong knowledge of SQL and experience with databases such as BigQuery, Redshift, or Snowflake.

Familiarity with data transformation and mapping techniques.

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Ability to work independently and manage multiple tasks simultaneously.

Skills & Requirements