About this role
The team is seeking a skilled Data Engineer to join their team. The ideal candidate will be responsible for ingesting and cleaning customer support data from various sources such as Bliss, Salesforce, Sprinklr, and JIRA. You will play a crucial role in addressing fragmentation and missing metadata, ensuring data alignment across systems.
Key Responsibilities:
- Ingest and clean messy customer support data from multiple platforms.
- Identify and fix fragmentation and missing metadata issues.
- Build reliable ETL/ELT pipelines that are zero-downtime, monitored, and failure-proof.
- Collaborate with operations teams to address issues with source logging.
- Develop business logic for downstream datasets.
- Gain an understanding of customer support operations to enhance data processes.
Required Skills & Qualifications:
- Strong proficiency in SQL.
- Experience with Python and PySpark.
- Familiarity with big data technologies and frameworks.
- Proven ability to work with cross-functional teams.
- Strong analytical and problem-solving skills.
Experience:
- Minimum of 5-8 years in data engineering or related fields.
What we offer:
- An opportunity to work in a dynamic and innovative environment.
- The chance to collaborate with talented professionals in the industry.
- Opportunities for professional growth and development.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.