Job Description

Mandatory Skills :

DataBricks

•    People & Interpersonal Skills
o    Build and manage a high-performing team of Data engineers and other specialists.
o    Foster a culture of innovation and collaboration within the Data team and across the organization.
o    Demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
o    Candidates should be confident, energetic self-starters, with strong communication skills.
o    Candidates should exhibit superior presentation skills and the ability to present compelling solutions which guide and inspire.
o    Provide technical guidance and mentorship to the Data team 
o    Collaborate with other stakeholders across the company to align the vision and goals 
o    Communicate and present the Data capabilities and achievements to clients and partners 
o    Stay updated on the latest trends and developments in the Data domain 
What is required for the role?
•    10+ years of experience in the information technology industry with strong focus on Data engineering, architecture and preferably as data engineering lead
•    8+ years of data engineering or data architecture experience in successfully launching, planning, and executing advanced data projects.
•    Experience in working on RFP/ proposals, presales activities, business development and overlooking delivery of Data projects is highly desired
•    A master’s or bachelor’s degree in computer science, data science, information systems, operations research, statistics, applied mathematics, economics, engineering, or physics.
•    Candidate should have demonstrated the ability to manage data projects and diverse teams.
•    Should have experience in creating data and analytics solutions.
•    Experience in building solutions with Data solutions in any one or more domains – Industrial, Healthcare, Retail, Communication
•    Problem-solving, communication, and collaboration skills.
•    Good knowledge of data visualization and reporting tools 
•    Ability to normalize and standardize data as per Key KPIs and Metrics

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Do

1. Demand generation through support in Solution development

a. Support Go-To-Market strategy

i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation

ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales

b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses

2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions

a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions

b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options

c. Integrate model performance management tools into the current business infrastructure

3. Team Management

a. Resourcing

i. Support recruitment process to on-board right resources for the team

b. Talent Management

i. Support on boarding and training for the team members to enhance capability & effectiveness

ii. Manage team attrition

c. Performance Management

i. Conduct timely performance reviews and provide constructive feedback to own direct reports

ii. Be a role model to team for five habits

iii. Ensure that the Performance Nxt is followed for the entire team

d. Employee Satisfaction and Engagement

i. Lead and drive engagement initiatives for the team

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Deliver 

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