Back to SearchSenior Data Integration Engineer
Data Integration
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We are seeking a talented Senior Data Integration Engineer who will play a pivotal role in creating and optimizing data integration solutions.
You will collaborate with diverse teams to establish seamless data workflows, ensuring efficient system connectivity and supporting key business initiatives. This position offers the opportunity to contribute to transformative projects within a dynamic and innovative environment.
Responsibilities
- Design and implement scalable data integration solutions tailored to business needs
- Work closely with cross-functional teams to define requirements and develop integration strategies
- Monitor, troubleshoot, and refine data workflows to maximize performance and dependability
- Develop comprehensive documentation for integration procedures and architectures
- Ensure compliance with data governance policies and security standards
- Engage in code reviews to maintain high-quality development practices
- Stay informed about the latest advancements in data integration tools and techniques
- Drive improvements in processes, tools, and methodologies to enhance team productivity
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
- Minimum of 3 years of experience in data integration or a similar role
- Expertise in SDLC methodologies and their practical implementation
- Demonstrated experience applying SDLC processes in live projects
- Strong familiarity with Agile development principles and practices
- Advanced proficiency in SQL for querying and managing databases
- Experience with NoSQL database technologies
- Hands-on experience with CI/CD tools and pipeline automation
- Strong English communication skills, both written and spoken, at a B2+ or higher level
Nice to have
- Practical experience with cloud environments such as Azure, AWS, or Google Cloud
- Proficiency with ETL tools for data extraction, transformation, and loading
- Knowledge of API integration and development concepts
- Familiarity with big data technologies such as Hadoop or Spark
- Industry certifications in data engineering, cloud platforms, or related technologies