Senior Consultant

Year    Gurugram, Haryana, India
Golf View Corporate Tower B, Golf Course Road, Sector 42 Gurgaon / Gurugram Haryana , 122002, India

Job Description

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Mandatory : Python, Azure Data Pipelines, SQL

Experience- 5+ years of relevant experience.

Notice Period- Immediate to Max 15 Days

Detailed R&R as below:
  • Designing, building, and deploying compute environments and data pipelines to serve analytics models
  • Utilising the latest available technologies to flexibly manage and scale data pipelines and analytics models
  • Engineering complex systems to manage big data compute tasks
  • Challenging and collaborating to derive new and novel techniques to improve the service of data to models
  • Developing platforms and processes that support the reproducibility of results
  • Ensure best in class processes and techniques to develop and deploy data analytics solutions to the business
  • Ensure the quality assurance and quality control of all data analytics products released to the business
  • Capture and record the intellectual property generated.
  • Share what has been developed in GitHub to help foster a new generation of data driven decision makers and enable them to improve upon what has already been done
  • Engage with clients and key stakeholders to build their understanding of data analytics
  • Provide training and knowledge transfer to support the deployment and continuity of the analytics products developed
  • To succeed in this role, you should have:
  • Postgraduate qualification in Mathematics, Statistics, Computer Science or related field combined with several years of experience in data science projects, preferably using agile methodologies
  • Pipeline development, across different data architectures, (transactional, time series, streaming, unstructured) and storage solutions including use of APIs
  • Cloud based solution design using containerisation and severless architectures in AWS and/or Azure (Cloud Formation/ARM)
  • Implementation of data science projects, including familiarity with machine learning libraries, and frameworks (e.g. Sci-kit Learn, H2O, TensorFlow, Keras, Tidyverse) x
  • Coding in SQL, Python, Linux (Bash), Scala and Go (desirable); software engineering experience desirable
  • Massive parallel processing architectures, inclusive of the use Hadoop and/or Spark (desirable)
  • Engage with clients and key stakeholders (IST) to build their understanding of data analytics
  • Drive change by fostering an innovative and \xe2\x80\x9cdisruptive\xe2\x80\x9d technology culture to identify and drive value creating opportunities
  • Help the broader PACE team and clients prioritize by advising technical complexity of identified opportunities

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
About EY
As a global leader in assurance, tax, transaction and advisory services, we\xe2\x80\x99re using the finance products, expertise and systems we\xe2\x80\x99ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we\xe2\x80\x99ll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

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Job Detail

  • Job Id
    JD3243384
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Gurugram, Haryana, India
  • Education
    Not mentioned
  • Experience
    Year