Lead Data Engineer – Analytics & AI
Abjayon (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 18–30 LPA
Posted on 24 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead technical design and hands-on engineering delivery of enterprise data, analytics, and AI/ML solutions.
- Translate high-level architecture into detailed data models, pipelines, and implementation specs used by engineering teams.
- Guide and mentor data engineering teams to ensure scalable, maintainable, and production-ready data platforms with focus on reliability and performance.
Minimum Requirements
- Significant professional experience in data engineering, data warehousing, or data architecture, including leading technical design or delivery of enterprise data solutions.
- Strong hands-on expertise in SQL, data modeling, ETL/ELT, data pipelines, and enterprise data warehouse or lakehouse architectures.
- Ability to translate high-level designs into detailed technical designs and lead engineering delivery with code/design reviews and troubleshooting complex integration/scalability/production issues.
- Work Experience Required: Significant professional experience in relevant data engineering roles (exact duration not explicitly mentioned).
Ideal Candidate Profile
- Experienced technical leader comfortable bridging solution architecture and engineering implementation in complex enterprise data environments.
- Strong problem solver who can troubleshoot production and integration issues spanning multiple systems and workloads (batch, CDC, streaming).
- Familiar with modern cloud data platforms (e.g., Snowflake, Databricks, Redshift, Azure Synapse), MLOps, and advanced analytics use cases aligned with AI/ML teams.