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Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads and develops a high-performing software engineering team building full-stack business experimentation and optimization applications. Responsibilities include supervising and mentoring engineers, designing scalable service-oriented architectures, leading projects from inception through release, developing software, reviewing code, planning features, improving engineering processes, and collaborating across teams. The role requires expertise in full-stack, data, cloud, microservices, databases, and advanced software development practices.
Top Skills:
.NetAgent CoreAWSBedrockC#Claude CodeDatabasesDatabricksEmrGithub CopilotJavaMicroservicesPythonReactSparkSpring Boot
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads planning and execution of global, cross-functional projects for Mastercard’s Shared Services Organization. Responsibilities include scheduling, milestone tracking, process improvement, status reporting, stakeholder communication, operational data analysis, risk management, and coordination across internal teams, regions, and third-party providers.
Automotive • Professional Services • Software • Consulting • Energy • Chemical • Renewable Energy
Leads the strategy, development, commercialization, and full lifecycle execution of UL Solutions’ Marketing Claim Verification Program. Coordinates cross-functional teams, manages stakeholders, risks, budgets, governance reviews, testing methodologies, customer-facing deliverables, and continuous improvement. Supports growth through opportunity development, proposals, customer engagement, and value proposition creation while translating technical concepts into market-focused solutions.
Job Description:
Job Requirements:
Must Have:
- Minimum 5–8 years of relevant experience in analytics
- Strong SQL (Expert) and Python (Intermediate) skills
- Hands-on experience with BI tools (Tableau, Looker Studio, Power BI, Datorama)
- Solid understanding of statistical modeling techniques (Regression, Time-Series, Clustering)
- Experience in building and deploying ML models for business use cases
- Advanced Excel and PowerPoint skills
- Ability to lead projects independently and manage cross-functional teams
- Strong communication, stakeholder management, and problem-solving skills
Good to Have:
- Experience with R or SAS
- Exposure to cloud platforms (GCP, Azure, AWS)
- Familiarity with AI / Deep Learning techniques
- Experience in campaign analytics, audience segmentation, and media attribution
- Knowledge of agile workflows, JIRA, and Git
Location:
DGS India - Bengaluru - Manyata N1 BlockBrand:
MerkleTime Type:
Full timeContract Type:
Permanentdentsu Mumbai, Maharashtra, IND Office
Mumbai, India
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