Data Engineer II
Skills
Amdocs CRMApache AirflowBusiness IntelligenceBusiness Process ImprovementContextData IntegrityData Warehousing
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 1-3 years of professional software or data engineering experience
- Strong Python skills and deep SQL knowledge
- Experience with ETL ELT and complex data transformations
- Comfort writing unit tests and working in an established codebase
- Familiarity with Airflow or eagerness to learn workflow orchestration
- Basic understanding of ingestion idempotency scheduling and data quality
- Knowledge of Snowflake Databricks AWS dbt Tableau MongoDB or PostgreSQL
- Git-based version control and PR-based code review experience
- Strong communication and clarifying-question skills
- Growth mindset and openness to review feedback
Nice to have
- Self-learner
- Detail-oriented
- Collaborative
- Growth mindset
- Security-aware
- Clear communicator
Day to day
- Implement ingestion pipelines and Airflow DAGs from senior engineers' designs using established scaffolding and conventions
- Support data security and governance work including PII masking and access controls while following proven patterns
- Contribute to reverse ETL integrations and data delivery work under guidance, helping move data reliably from source to decision-ready output
- Add and extend fields in existing pipelines, respond to review feedback, and strengthen pipeline correctness through code tests and documentation
Hiring process
- Recruiter guidance provided at each stage
- Interview and onboarding may include onsite components or Launching into Better: LIVE
- Participation and travel requirements confirmed based on role and location