• Bachelor’s degree in IT, Computer Science, or related field
• 5–10 years of experience in data engineering or data science
• Skilled in metadata ETL, APIs, and Python
• Familiar with search engines (Solr, Elasticsearch), especially in ecommerce

Core Skills:

• Java, Spring Batch, JavaScript, Python, AWS
• Preferred Skills:
• Solr or Elasticsearch
• Azure DevOps

Key Responsibilities:

Connector Development:

• Design, build, and test data connectors to ingest and transform catalog data and metadata feeds into formats required by the search engine.

Data Transformation & Integration:

• Support incremental ingestion processes, data mappings, and apply appropriate data security measures.

Performance & Quality Optimization:

• Conduct performance benchmarking of data ingestion processes and implement quality improvements as needed.

Cross-Team Collaboration:

• Interface daily with project team members including client stakeholders, API SMEs, and Technical Architects to understand and implement integration requirements.

API & Full-stack Support:

• Collaborate on API enhancements and provide backup support to full-stack engineers for integration-related tasks.

Issue Resolution:

• Perform bug/root cause analysis, document findings, and coordinate with relevant teams to test and deploy fixes.

Agile Development & Tracking:

• Participate in Agile ceremonies and collaborate with Technical Leads, Delivery Leads, Scrum Masters, and Product Owners to complete prioritized sprint tasks.
• Use Azure DevOps for task management, updating ticket status, comments, code references, and blockers daily.

CI/CD & Testing:

• Utilize CI/CD pipelines to test and deploy solutions. Coordinate with QA Analysts to ensure all deliverables pass quality assurance checks.

Documentation:

• Maintain up-to-date documentation in the project wiki to reflect current system behavior and changes.