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Senior - Cloud Development at KPMG Nederland
Bangalore, karnataka, India -
Full Time

Start Date

Immediate

Expiry Date

10 Mar, 26

Salary

0.0

Posted On

10 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Data Pipelines, Big Data Solutions, Data Processing, Advanced Analytics, Stakeholder Management, Business Partnering, Data Analysis, Performance Indicators, Deployment Techniques, Project Management, Data Modeling, Testing Techniques, Data Sources, Decision-Making, Innovative Platforms

Industry

Business Consulting and Services

Description
About KPMG in India KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Jaipur, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Typically: • Manages one or more data engineering projects of moderate complexity. • Leads or acts as key team member in defining and builds the data pipelines that will enable faster, better, data-informed decision-making within the business. • Jointly designs and implements a big new data solution which supports high amounts and velocity of data and supports future growth. • Identifies latest development, testing and deployment techniques to quickly deploy new releases to e.g., deploy new data pipelines and add data sources. • Influences stakeholders in adopting analyses / outcomes. Plays a prominent role in project related meetings etc. • Utilises business partnering to gather, analyse and model data and key performance indicators of the highest complexity. Working as Data Engineer to develop and deploy innovative big data platforms for advanced analytics and data processing. • Works independently under broad managerial supervision.
Responsibilities
The role involves managing data engineering projects and leading the design and implementation of data pipelines for informed decision-making. The candidate will also influence stakeholders and work independently under broad managerial supervision.