Application Lead

Posted:
4/7/2025, 9:07:44 PM

Location(s):
Bhubaneshwar, Odisha, India ⋅ Odisha, India

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

Project Role : Application Lead
Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact.
Must have skills : Google Dataproc
Good to have skills : Google BigQuery, Google Cloud Data Services, Google Looker Data Platform
Minimum 18 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful implementation. This role requires strong leadership skills and expertise in Google Dataproc. Roles & Responsibilities: - Expected to be a SME with deep knowledge and experience. - Should have influencing and Advisory skills. - Engage with multiple teams and responsible for team decisions. - Expected to provide solutions to problems that apply across multiple teams, and provide solutions to business area problems. - Lead the effort to design, build, and configure applications. - Act as the primary point of contact for the application development process. - Oversee the entire application development process and ensure its successful implementation. - Provide guidance and support to the development team. - Collaborate with stakeholders to gather requirements and understand business needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Dataproc, Google BigQuery, Google Cloud Data Services, Google Looker Data Platform. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. - Core data delivery SI experience – AO (optional) | Google Data and Analytics- Big Query, Data Proc, Data Flow, Looker, Dataplex (optional) | Data Architecture know-how Experience :- 18-20 yrs. Min 2 large implementations in GCP Data Analytics | Client Facing Experience | Delivery management of upto 60-80 people | SI Automation | Knowledge of Semantic Layer | Knowledge of Gen AI (optional)

15 years full time education

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