Sustainability Digital Technology Senior Specialist - Data & AI
New
J
JobgetherSustainability, Data, AI
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Minimum of 10 years of professional experience, including at least 6 years focused on data engineering, analytics, or enterprise data platform development.
- Required Skills
- SQLBusiness IntelligenceCloud ComputingSparkCI/CDAgile methodologiesData modelingDatabricks
Requirements
- Bachelor's degree in Computer Science, Engineering, Mathematics, or another STEM-related discipline.
- Minimum of 10 years of professional experience, including at least 6 years focused on data engineering, analytics, or enterprise data platform development.
- Strong expertise in SQL, data modeling, ELT processes, and large-scale data engineering solutions.
- Hands-on experience with distributed data processing technologies such as Apache Spark, MPP databases, or similar platforms.
- Experience working with modern cloud-based data platforms, including Databricks or equivalent technologies.
- Knowledge of business intelligence and data visualization solutions, APIs, and enterprise reporting platforms.
- Familiarity with ESG reporting, sustainability data, regulatory compliance frameworks, or governance standards is highly desirable.
- Experience with Agile methodologies, CI/CD practices, AI-assisted software development, and modern engineering workflows.
- Understanding of user experience methodologies such as Design Thinking, prototyping, wireframing, and user journey mapping is an advantage.
- Strong analytical, communication, presentation, and stakeholder management skills with the ability to collaborate across multidisciplinary global teams.
- Demonstrated leadership skills with experience mentoring technical teams, resolving complex challenges, and delivering high-quality data solutions.
Responsibilities
- Lead the design, development, and continuous improvement of Data & AI products supporting sustainability, ESG reporting, and enterprise digital transformation initiatives.
- Build and maintain scalable data pipelines for data ingestion, processing, governance, and consumption while ensuring data quality and compliance with applicable regulatory frameworks and standards.
- Develop data models, semantic layers, and knowledge frameworks that enable reliable reporting, analytics, and auditability across sustainability domains.
- Design and implement data consumption solutions, including APIs, dashboards, business intelligence reports, and custom analytics applications.
- Collaborate closely with data engineers, architects, data scientists, product managers, subject matter experts, and business stakeholders to deliver high-value digital products.
- Analyze and document data requirements across multiple enterprise systems to support downstream reporting, operational processes, and business intelligence.
- Provide technical leadership by promoting modern engineering practices, AI-assisted development, and continuous improvement across project teams.
- Contribute to Agile product delivery by supporting solution design, testing, deployment, documentation, and ongoing platform optimization.
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