Related skills
azure aws snowflake sql python📋 Description
- Own and drive end-to-end data pipelines for cloud analytics across clients.
- Translate business needs into scalable data engineering solutions.
- Ensure on-time delivery within scope with measurable value.
- Collaborate with distributed teams on client engagements.
- Provide technical leadership in architecture and design workshops.
- Promote reusable patterns and standardized data frameworks.
🎯 Requirements
- 3–4 years' experience as a Data Engineer delivering production data solutions.
- Strong Python and/or Scala for data engineering workloads.
- Hands-on with Snowflake, AWS, Azure, and Databricks.
- Advanced SQL: write, debug, and optimize complex queries.
- End-to-end data solutions focusing on performance, security, scalability.
- Document designs, POCs, roadmaps, and architecture diagrams.
- Experience delivering projects in professional services or consulting.
- Strong written and verbal English communication.
🎁 Benefits
- Medical Insurance for Self & Family
- Medical Insurance for Parents
- Term Life & Personal Accident
- Wellness Allowance
- Broadband Reimbursement
- Certifications and professional development support
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