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As a Lead Data Engineer in Enquero’s Data & Analytics unit you will be leading a fast-paced team to deliver industry contextual technology solutions for our Fortune 500 customers as per the customer requirements. You will leverage your formal education in the relevant field and your professional experience to apply professional concepts to work on targeted problems and tasks. You will follow standard practices and procedures applicable in your area of work to complete your task/deliverable with high quality under limited supervision.

Perform project analysis and development tasks of increasingly complex nature which may require extensive research and analysis.
Make design and technical decisions for application and ensure high performance of the application.
Determining methods and procedures on new tasks, establishing these for the assignment and coordinating activities with other employees while leading a small team and demonstrating a good leadership within the team
Work in an agile development environment and ensures process/policy compliance as per organizations guidelines.
Collaborate with leaders, business analysts, project managers, IT architects, technical leads and other developers, along with internal and external customers, to understand requirements and develop needs according to business requirements
Supports code deployments and configuration changes to production and non-production systems, following established procedures
Be a thought leader, understand the latest trends and capabilities to implement modern and successful solutions
Contributing to your BU/Practice by
Documenting your learnings from the current work and engaging in the external tech community by writing blogs, contributing in Github, Stack overflow, meetups / conferences etc.
Keep updated on the latest technologies with technology trainings and certifications
Actively participate in organization level activities and events related to learning, formal training, interviewing, special projects etc.




Qualifications:

REQUIRED

Minimum 7+ years of experience in design, development, and deployment of large-scale, distributed environment
Expertise with SAP MDG configurations for Data modelling, UI modelling, process modelling, rules, and derivations, BRF+, replication configurations
Full MDG life cycle implementation with Blueprinting, fit gap analysis, configurations, data migrations, cutovers and go live experience
Must have knowledge and experiences of implementing multiple SAP MDG (Master Data Governance) architectures and business processes across multiple master data domains, Preferably on Customer Master.
Develop processes, tools, and integration for Master Data Processes to support the project including data cleansing and data validation
Mapping of Master Data and integration from the legacy environment to the target environment
Working with team members or stakeholders to understand objectives and gather requirements and build efficient, distributed scalable solutions.
Independently creating SQL scripts for data processing tasks and improve the efficiency and availability of platforms and creating information models to cater the business requirements.
Ensuring quality control and testing of data engineering projects/solutions.
Engaging in problem solving and actively supporting data engineering/analytics processes.
Contributing towards documentation (e.g. of data, proposals) to enhance overall work output.
Administer data models in SAP HANA, including setting of information validation rules, managing schemas, the importing/exporting and transporting of data models.