Equal employment opportunity information

KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.

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.

Job Description:

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.

Education

• University degree in any IT discipline

• Minimum 6+ years of experience in the IT industry

Skills

• Proven technology champion in working with relational, SQL DBs as well as working familiarity with a variety of databases.

• Good understanding of Dead Letter Queue as a service implementation to store messages.

• Ability to develop, document and maintain secure and efficient HTTP endpoints for application integration.

• Knowledge of microservices principles, service decomposition, inter-service communication, and deployment in cloud or containerized environments.

• Proven Experience in working in data engineering technologies - Azure functions, ADF, Azure Databricks, Azure SQL.

• Proven champion with in-depth knowledge of the scripting languages: Python, PySpark.

• Strong analytical and problem solving skills applied in Power BI report development.

• Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.

• Work with source control technologies (such as GITHUB, GitHub Actions)