Senior Manager_Data Scientist_Pune

Key Skills

3D data processing, Big Data Technology, Data Analysis, Data science techniques, Google Cloud Platform (GCP)

Job Description

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.

What's in it for you

We want you to feel happy and fulfilled at work, without compromising the other things in life that matter to you. There are lots of ways we support this, including hybrid working and generous parental leave. You'll also get four Spirit Days a year to focus on your personal development and wellbeing, plus a host of other great benefits too.

Who we are

Responsibilities

A data engineer is a data professional who uses their expertise in data engineering and programming to build systems that collect, manage, and convert raw data into usable information for business analysts. They are responsible for developing and maintaining data processing software like databases. Data engineers construct datasets that are easy to analyze and support company requirements. They implement methods to improve data reliability and quality by combining raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.

The roles and responsibilities of a data engineer include:

• Analysing raw data.
• Developing and maintaining datasets.
• Improving data quality and efficiency.
• Conducting complex data analysis and reporting on results.
• Preparing data for prescriptive and predictive modelling.
• Building algorithms and prototypes.
• Exploring ways to enhance data quality and reliability.
• Identifying opportunities for data acquisition.
• Developing analytical tools and programs.
• Collaborating with data scientists and architects on several projects.

Desireable Experience:

• 4+ years experience using major data technologies: Elastic, GCP Big Data
• Experience of extracting data from major toolsets: Splunk, ArcSight, Qradar, etc.

Comments

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Skills

Vodafone is committed to attracting, developing and retaining the very best people by offering a motivating and inclusive workplace in which talent is truly recognised and rewarded. We are committed to promoting Inclusion for All with the belief that diversity plays an important role in the success of our business. We actively encourage everyone to consider becoming a part of our journey.