Principal Data Engineer EMIRATES GLOBAL ALUMINIUM (EGA)

Job Description

Roles & Responsibilities

Desired Candidate Profile

QUALIFICATIONS & SKILLS:

Domain Expertise
•    Bachelor’s degree required, MS or PhD preferred
•    Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 10+ years of relevant experience. 
•    Minimum 5+ years of managerial experience utilizing strong leadership skills, including mentoring, communication, decision-making, and project management.
•    Knowledge of the Big Data technology landscape beyond the buzzwords; Experience with big data and analytics programming languages such as Python, R, Spark, NoSQL
•    Experience with batch and real-time processing frameworks (Hadoop, Apache Storm, Apache Kafka, Apache Spark etc.) 
•    Proficiency working with DataFrames and writing complex SQL queries
•    Familiar with production Cloud / DevOps environments and Data lake, Data transformation, ETL/ELT, and other data concepts
•    Experience of leveraging MS/Azure ecosystem to manage the development and maintenance of cloud platform operations
•    A broad set of technical skills and knowledge across hardware, software, systems and solutions development
•    A proven track record of using quantitative analysis to impact key business or product decisions
•    Solid grasp of and experience with implementing and operating software development methodologies
•    A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression)
•    Understanding of Agile Software Development Lifecycle and project planning/execution skills
•    Outstanding communicating skills with stakeholders at all levels, managing stakeholders’ expectations and facilitate discussions across high risk or complexity or under constrained timescales.
•    Excellent Data analysis skills by helping teams apply a range of techniques for data profiling and sourcing system analysis from a complex single source with excellent capability to bring multiple data sources together in a conformed model for analysis
•    Outstanding capability to establish enterprise-scale data integration procedures across the data development life cycle and ensure that teams adhere to these. Able to manage resources to ensure that data services work effectively at an enterprise level.
•    Up to date with data innovation and expert in investigating emerging trends in data-related approaches, performing horizon-scanning for the organization and introducing innovative ways of working. 
•    Expert in Data integration design and can establish standards and well informed on best practice across different industries. The candidate can distinguish how to keep those standards up to date and ensures adherence to them.
•    Good understanding of concepts and principles of data modelling and can produce, maintain and update relevant data models for specific business needs. Also, shows good knowledge on how to reverse-engineer data models from a live system.
•    Expert in Metadata management and understands how metadata repositories can support different areas of the business. Capable of promoting and communicating the value of metadata repositories and knows how to set up robust governance processes to keep repositories up to date.
•    Expert in identifying and anticipating problems and know how to prevent them by linking how problems fit into the larger picture. Has the ability to identify and describe problems and help others to describe them and knows how to build problem-solving capabilities in others.
•    Expert in setting up team-based data engineering standards for programming tools and techniques and can select appropriate development methods. Act as an advisor on the application of standards and methods and ensure compliance and takes technical responsibility for all stages and/or iterations in a software development project, providing method-specific technical advice and guidance to project stakeholders. 
•    Technical Expert in predicting and advising on data engineering future technology changes that present opportunities for a product or programme.
•    Experienced with reviewing requirements, specifications and defining test conditions with good understanding on how to identify issues and risks associated with work while being able to analyze and report test activities and results.