SENIOR DATA ENGINEER

happiestminds

Bengaluru, India 5 Years Exp Posted 9d ago

Willingness to work in second shift to support global stakeholders and business operations (CST (US)).
Actively support BAU operations (L2 & L3) including incident triage, root cause analysis, bug fixes, data issue resolution, and performance tuning.
Support BAU operations including incident triage, root cause analysis, bug fixes, and performance tuning.
Build and maintain documentation, runbooks, and operational playbooks for pipelines and workflows.
Enable observability through logging, lineage capture, and monitoring frameworks.
Contribute to reusable frameworks, accelerators, and standardization of development practices.
Work with downstream consumers (BI, analytics, data science) to optimize data availability and usability.
Design, build, and maintain scalable data pipelines and workflows on modern data platforms (primarily Databricks and Azure stack).
Implement and operationalize DataOps practices including monitoring, and alerting for data pipelines.
Translate business/data requirements into efficient data models, transformations, and reusable components.
Own ingestion, transformation, and curation layers (bronze/silver/gold) ensuring data quality, consistency, and performance.
Collaborate with architects, SMEs, and cross-functional teams (platform, BI, and support) for seamless delivery and handoffs.