Data Engineering Lead
5 days ago
- Guide and develop ahigh-performing Data Engineering team, fostering a culture ofinnovation, efficiency, andcollaboration.
- Apply your deep expertise inAzure Data Platform and other Data Engineering tools to refine andexpand our data capabilities
- Lead theend-to-end process of designing, documenting, developing,implementing, and testing innovative prototypes that showcase thevalue of data
- Oversee the development andintegration of Web Apps, Function Apps, and custom user interfaces,ensuring robust data modelling, quality, governance, and securitypractices.
- Serve as the primary contact for allData Engineering inquiries
Required Skills To BeSuccessful
- Practical experience in constructingand refining Big Data pipelines, architectures, and datasets,optimizing for efficiency andscalability.
- Strong analytical skills ,expertise with DevOps for deploying datapipelines
- Knowledge of Data VirtualizationTools (Denodo), Auto ML Tools (DataRobot, Dataiku), Marketing Tools(Salesforce, etc.), SAP (BW/BO /ERP).
- Expertisein Azure Data Factory, Databricks, Event Hubs, Python, PySpark, SQL& No-SQL Databases, and other pivotal Big Data solutions,ensuring robust, scalable data infrastructure.
What Equips You ForThe Role
- Bachelor's degree incomputer science or a related field ofstudy.
- 15+ years of IT experience inimplementing complex business / transformation projects acrossvarious domains and managing internal and externalteams.
- Minimum 8+ years of practical experiencebuilding and managing data pipelines with multiple source systemintegrations
- Minimum 4+ years of dedicatedexperience in the design, development, and management of web-baseddata management portals and tools
- Minimum 3+years of experience in building and managing real-time eventstreaming solutions using Kafka
- Minimum 2+years of experience in integrating Recommendation Engine orSegmentations with customer touchpoints /channels.
Engineering
EmploymentType : Full Time
Department /Functional Area: Engineering
Experience: years
Gender: Male
Vacancy: 1
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