
Data Integration Specialist
15 hours ago
The ideal candidate will possess expertise in utilizing SnapLogic to drive business outcomes and collaborate effectively with cross-functional teams.
">Key Responsibilities:">- ">
- Design and implement data integration solutions using SnapLogic, ensuring seamless data flows and efficient processing.">
- Collaborate with technical stakeholders to identify opportunities for process improvements and develop effective solutions.">
- Develop and maintain robust, scalable data pipelines that meet the needs of various business units.">
- Engage with multiple technical teams to achieve shared goals, promoting a culture of collaboration and open communication.">
- Contribute to the development of technical documentation, providing clear guidance on best practices and configuration options.">
- Stay up-to-date with the latest SnapLogic features and functionality, applying this knowledge to optimize existing workflows and improve overall performance.">
- Work closely with the analytics team to design and implement data visualizations that provide actionable insights.">
- Participate in code reviews, ensuring adherence to coding standards and contributing to the improvement of overall code quality.">
- Develop Python scripts and Unix shell commands to automate tasks and streamline processes.">
A successful Lead Developer - SnapLogic Specialist will be an experienced professional with a strong track record of delivering high-quality results and driving business growth through data-driven initiatives.
">Requirements:">- ">
- At least 7 years of experience working with SnapLogic, with a proven ability to design and implement complex data integration solutions.">
- Excellent problem-solving skills, with the ability to break down complex technical issues into manageable components.">
- Strong understanding of data modeling principles and the ability to create efficient, scalable data pipelines.">
- Ability to communicate technical concepts to both technical and non-technical stakeholders, with excellent presentation and written communication skills.">
- Experience with big data technologies, including Redshift, Oracle, and Hadoop.">
- Knowledge of AWS services, including S3, DynamoDB, and Lambda.">
- Proficiency in Python and Unix scripting, with experience developing automated tools and scripts.">
- Familiarity with DevOps practices and containerization using Docker.">
- Ability to work independently and collaboratively as part of a global team, with a willingness to adapt to changing priorities and deadlines.">
- Excellent analytical and problem-solving skills, with a passion for staying up-to-date with the latest industry trends and advancements.">
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