Position Summary:
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This is an exciting role working with the Business Ontology & Knowledge Engineering team. Your role will focus on developing large data engineering products and capabilities. This will be core development and technical with techno-management role delivering technical deliveries. The role will require a strong hands-on nature, understanding of our data ecosystem and effectively building and managing data engineering pipelines. Many of the work products developed will enable business specific requirements, data science models, graph-based capabilities, etc. The ability to work through short, mid and long-term focus will be key. The journey will require a constant need for self-learning and working with business.
The role will also require a strong technical mentorship with the team and the ability to get hands-on will be vital. Key areas of the role.
- Develop | Build | Manage | Data Capability products and services
- Create | Manage Standard Operating Procedure (SOP) & Turn Around Time (TAT)
- Data Pre-process & Standardisation
- Implement Production Pipelines
- Manage | Maintain | Enhance - Data Engineering Stack | Technology
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Key Role Responsibilities
- Develop | Build | Manage | Data Capability products and services
- Create | Manage Standard Operating Procedure (SOP) & Turn Around Time (TAT)
- Data Pre-process & Standardisation
- Implement Production Pipelines
- Manage | Maintain | Enhance - Data Engineering Stack | Technology
Basic Qualifications (Mandatory):
- Minimum 4+ years of managing hands on Data Engineering with big data roles
- Hands on experience on the following areas
- Data Engineering implementations (PySpark, SPARK, Java, Scala, etc.)
- Azure Data Bricks | Other scalable compute platforms
- Strong understanding of Microsoft Azure Cloud Stack and its data & compute products
- Data Warehousing (Microsoft Azure DW, Redshift, Teradata, etc.)
- Data Lake (MS, AWS, etc.)
- Big Data Ecosystem, (such as Hadoop, Spark)
- Large Scale data processing
- Production scale Database (such as Oracle, MS SQL Server, MySQL, PostgreSQL)
- NoSQL (such as HBase, MongoDB, Cassandra, Cosmos)
- Exceptional program management (execution) with proactive program management (using tools) across stakeholders – agile | devops | iterative approach
- Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
- Hands-on nature (ability to self-code if required (base level) / ability to tech mentor - must) for team members
- Strong team working and working with grounded collaborations (inter and intra teams)
- Self-driven & high ownership levels are a must
- Strong verbal and written/presentation skills are a must, as well as the ability to work effectively across internal and external partners/virtual teams.
- Constantly ahead of curve in latest Data Science related technologies and capabilities that are relevant to BFL/ Business
Qualifications (Nice to have):
- Strong orientation to Algorithms, Mathematics & Statistics
- Graph DB (such as Arango, Orient, Neo4j, etc.)
Educational Qualifications (Mandatory):
- Educational background BTech | MTech | Sciences (Computer Science, Data Mining, Mathematics, Statistics, Electronics, Communications)
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