Senior Data Integration Engineer - Python/PySpark (6-9 yrs)

Job Description :

We are seeking a highly skilled and experienced Senior Data Integration Engineer to join our dynamic team. The ideal candidate will have a strong background in AppFlow, PySpark, Python, AWS Lambda, API ingestions, TerraForm, and experience with Informatica Cloud or SnapLogic.

This role requires a professional with 6 to 7 years of relevant experience who is passionate about integrating complex systems and driving efficiency through innovative solutions.

Key Responsibilities :

- Design, develop, and maintain data integration solutions using AppFlow.

- Utilize PySpark and Python for scripting and automating integration processes.

- Develop and manage AWS Lambda functions for seamless data integration.

- Handle API ingestions, ensuring robust and efficient data flows.

- Implement and manage TerraForm for infrastructure as code.

- Collaborate with cross-functional teams to understand integration requirements and deliver effective solutions.

- Implement and manage Informatica Cloud/SnapLogic for data integration tasks.

- Troubleshoot and resolve integration issues promptly to minimize downtime.

- Document integration processes and maintain technical documentation.

Qualifications :

- Bachelor's degree in Computer Science, Information Technology, or a related field.

- 6 to 7 years of relevant experience in data integration engineering.

- Proficient in AppFlow, PySpark, Python, and AWS Lambda and SnapLogic.

- Experience with API ingestions and handling large data sets.

- Hands-on experience with TerraForm and Informatica Cloud/SnapLogic.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration abilities.

- Ability to work independently and as part of a team in a fast-paced environment.