About the role
Job Description: SnapLogic Engineer - Lead
We are seeking a highly skilled and experienced SnapLogic Engineer to join our growing team and play a
crucial role in enhancing our data processing and analytics capabilities.
As a SnapLogic Engineer Lead you will be responsible for dealing with the most complex situations
related to development, design, implementation, and maintenance of our SnapLogic environment. You
will work closely with cross-functional teams, including data scientists, analysts, and software engineers
to build robust data pipelines and deliver actionable insights.
Key Responsibilities:
1
SnapLogic Environment Management:
•
Set up and configure SnapLogic environment to meet specific project requirements.
•
Conduct regular maintenance tasks, including updates and patches, to ensure system
stability.
•
Troubleshoot, document, and resolve technical issues.
•
Provide on-call support as needed.
•
Implement robust monitoring and logging solutions.
2
Data Pipeline Development:
•
Design and implement scalable and efficient data processing pipelines using SnapLogic.
•
Develop end-to-end data ingestion and transformation solutions, optimized for
performance, scalability, and efficiency.
•
Troubleshoot and optimize existing data pipelines for improved performance.
3
Integration and Collaboration:
•
Collaborate with data scientists and analysts to understand data requirements.
•
Work closely with cross-functional teams to integrate SnapLogic solutions into the
overall data architecture.
4
Documentation and Training:
•
Create and maintain comprehensive documentation on SnapLogic configurations and
processes, document best practices and standards to be followed.
•
Provide training and support to internal teams.
Qualifications:
•
Bachelor's degree in Computer Science, Engineering, or a related field; Master's
Degree preferred.
•
Proven experience as a SnapLogic Engineer.
•
Proficiency in both front-end and back-end technologies. This includes knowledge of
programming languages like Java, Python, JavaScript, React and Node.js, as well as proficiency in
SQL language.
•
Experience in designing and developing solutions in the ETL & ELT space.
•
Experience with cloud platforms such as Azure, AWS, or Google Cloud.
•
Experience working with Snowflake, Databricks cloud data platforms.
•
Solid understanding of data architecture and modeling.
•
Strong communication, consultation, analytical and leadership skills.