Senior Data Engineer

Job Vacancy – Senior Data Engineer – Dubai, United Arab Emirates

Adecco – Dubai, United Arab Emirates

• Experience:- As Mentioned
• Job Location:- Dubai, United Arab Emirates
• Company:- Adecco
• Education:- As Mentioned
• Nationality:- Any Nationality
• Gender:- Male / Female 
• Number of Vacant Positions:- Not Mentioned
• Salary:- Negotiable
• Job Type:- Permanent

About Adecco

The Adecco Group is the world’s driving ability warning and arrangements organization.
We gladly have an effect in the functioning existences of 3.5 million individuals consistently. Our way of life is pioneering and comprehensive, and we are joined by our enthusiasm for having an effect in the realm of work. We work with more than 100,000 associations in 60 nations, empowering their prosperity. Our enthusiasm, imagination and receptiveness to groundbreaking thoughts, encounters and viewpoints are our assets, permitting us to construct inventive answers for complex issues.

From artificial intelligence to the gig economy, the universe of work is evolving rapidly. However, for our purposes, there’s no need to focus on following change, it’s tied in with anticipating it and being a positive impact in molding the fate of work.

We have 35,000 individuals working with us across in excess of 60 nations and regions. Together we assist a huge number of associations with their ability needs, and empower a great many individuals foster their abilities and surpass their true capacity. Consistently, our work engages individuals, support economies and offer some incentive to society. You can be a piece of this astounding story as well.

Job – Senior Data Engineer

Job Description & Qualifications :

▪ bachelor’s in data science, Computer Science, Engineering, Statistics and 10+ years of relevant experience.
▪ Minimum 8+ 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 Data Frames 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 organisation 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 analyse and report test activities and results.

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