Senior Data Engineer

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Emirates NBD

Emirates NBD, the main Financial Gathering in the MENAT district, was shaped on 19 June 1963, when H.H. Late Sheik Rashid container Saeed Al Maktoum marked the Sanction of Joining of the Public Bank of Dubai (NBD) which turned into the principal Public Bank laid out in Dubai and the Assembled Bedouin Emirates (UAE).

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

Emirates NBD – Dubai, United Arab Emirates

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

About Emirates NBD

Emirates NBD, the main Financial Gathering in the MENAT district, was shaped on 19 June 1963, when H.H. Late Sheik Rashid container Saeed Al Maktoum marked the Sanction of Joining of the Public Bank of Dubai (NBD) which turned into the principal Public Bank laid out in Dubai and the Assembled Bedouin Emirates (UAE). With the favors of H.H. Sheik Mohammed canister Rashid Al Maktoum, VP and Top state leader of the UAE and Leader of Dubai, NBD converged with Emirates Bank Global (EBI) on 06 Walk 2007, to frame Emirates NBD, the biggest financial gathering in the district by resources. On 16 October 2007, the portions of Emirates NBD were authoritatively recorded on the Dubai Monetary Market (DFM). The consolidation among EBI and NBD to make Emirates NBD, turned into a territorial union outline for the banking and money area as it joined the second and fourth biggest banks in the UAE to frame a financial boss equipped for conveying improved esteem across Corporate, Retail, Islamic, Speculation, and Confidential Banking, Worldwide Business sectors and Depository, Resource The executives and Financier tasks all through the locale.

In 2013, Emirates NBD commended its 50th commemoration, denoting the Gathering’s extraordinary accomplishments while featuring the bank’s strong authentic and monetary establishments as well as its promising future.

As at 30th September 2022, complete resources were AED 721 Billion, (identical to approx. USD 196 Billion). The procurement of DenizBank addresses a critical achievement for Emirates NBD with the Gathering extending its presence to 13 nations, adjusting more than 17 million clients. The Gathering is positioned among the main 20 in the Forbes’ rundown of the World’s Best Respected Organizations, getting a main spot among worldwide brands.

The Gathering has a huge retail banking establishment in the UAE and is a critical member in the worldwide computerized financial industry with 94% of every monetary exchange and demands directed beyond its branches. The Gathering likewise works Liv., the way of life advanced bank for twenty to thirty year olds kept on being the quickest developing retail suggestion in the UAE and KSA.

About Emirates NBD

 

Job – Senior Data Engineer

Job Description:

The data engineer uses technologies to acquire, ingest and transform big data. They prepare data and conduct feature engineering to be used in machine learning models to support use case execution with a view of achieving overall objectives and targets.

The role is highly collaborative and works with product owners, business translator and data science teams in building high performance, secure and scalable data pipelines to support data science projects and use case

The role supports data scientists and Analytics Delivery lead in communicating the design, functioning and output of the analytical models/solutions developed

  • Degree in computer science, engineering, mathematics, or equivalent experience
  • 2+ years of previous commercial experience as a leader in a data-driven role
  • 2+ years of hands-on experience building data pipelines in production and ability to work across structured, semi-structured and unstructured data
  • 2+ years of experience in ML pipeline for streaming/batch workflow
  • Ability to write clean, maintainable, and robust code in Python
  • Understanding and expertise of software engineering concepts and best practices
  • Knowledge of testing frameworks and libraries
  • Experience with analytics (descriptive, predictive, EDA), feature engineer, algorithms, anomaly detection, data quality assessment and python visualization libraries – e.g. matplotlib, seaborn or other
  • Comfortable with notebook and source code development – Jupyter, Pycharm/VScode
  • Hands-on experience of technologies like Python, Spark/Pyspark, Hadoop/MapReduce/HIVE, Pandas etc.
  • Familiarity with query languages and database technologies, CI/CD, testing and validation of data and software
  • Tech stack and activities that you would use and preform on a daily basis
    • Python
    • Spark (PySpark)
    • Jupyter
    • SQL and No-SQL DBMS
    • Git (as source code versioning and CI/CD)
    • Exploratory Data Analysis (EDA)
    • Imputation Techniques
    • Data Linking / Cleansing
    • Feature Engineering
    • Apache Airflow/ Jenkins scheduling and automation, Github and Github Actions

 

  • Collaborative – able to build strong relations that enable robust debate, and resolve periodic disagreements regarding priorities.
  • Excellent interpersonal, and communication skills
  • Ability to communicate effectively with technical and non-technical audience
  • Ability to work under pressure with a solid sense for setting priorities
  • Ability to lead technical work with strong sense of ownership
  • Strong command of English language (both verbal and written)

Job Qualifications:

AS Mentioned in the JD

 

 

 

 

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