Senior Data Engineer
In short
Senior Data Engineer role focusing on designing & maintaining data pipelines, building scalable data products & APIs, and collaborating with stakeholders. Requires 4+ years experience, Python, SQL, big data frameworks (Spark, Databricks), and Azure. Promotes best practices & CI/CD.
AI-written summary based on the listing content.
SNI is serving as a trusted IT Outsourcing partner in line with the needs of World's most prestigious firms and carried out successful projects worldwide.
Responsibilities:
- Design, develop, and maintain automated data ingestion and ELT/ETL integration pipelines from source systems.
- Build and support scalable data products and API-based data services.
- Collaborate with business stakeholders, subject-matter experts, and cross-functional squads to understand business domains and legacy systems.
- Advise stakeholders on technical trade-offs, architecture decisions, and data solution design.
- Partner with data architects and stewards to enforce data governance, quality baselines, security, and scalability.
- Make independent architectural and tooling decisions in coordination with product owners.
- Mentor team members and promote engineering best practices across data modeling and pipeline architecture.
- Implement testing strategies, automated validation gates, and CI/CD pipelines for reliable code delivery.
Skills:
- 4+ years of professional experience designing data warehouse solutions and end-to-end data products.
- Advanced proficiency in Python and complex SQL for large-scale data processing.
- Hands-on experience with big data processing frameworks such as Apache Spark, Databricks, Azure Data Factory, or Delta Lake.
- Proven track record architecting and deploying scalable data platforms on Microsoft Azure.
- Strong knowledge of data modeling (dimensional modeling, Data Vault, or medallion architecture) and cloud cost optimization.
- Experience implementing automated testing and CI/CD workflows for data platforms.
- Strong communication skills and independence in a distributed, agile environment.
Nice to Have:
- Experience with Master Data Management (MDM) tools and data governance practices.
- Practical background in designing and developing RES
Tful APIs or data-serving layers.
- Familiarity with modern data platform governance, cataloging, and lineage tools (e.g., Microsoft Purview, Unity Catalog).
Follow us on Linkedin: https://www.linkedin.com/company/snisourcing/posts/?feedView=all
PLDE2650
| Published | 2026-11-04 |
| Expires | 2027-02-02 |
| Source |
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