Capgemini
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Bengaluru · On-site · 4-7 Yrs · Aug 24
Enterprise Software & Network Solutions · 10000+ Employees · Paris, France
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion. Capgemini in India comprises nearly 175,000 team members working across 13 locations: Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Kolkata, Mumbai, Noida, Pune, Salem and Tiruchirappalli. Get The Future You Want | Learn more about Capgemini in India at www.capgemini.com/in-en.
Hiring: Engineering
What employees say
+ Good company to begin your career as a fresher and retire as an experienced professional
− Not a good org in the middle band, as limited career growth opportunities and pay hike is minimal as compared to market standards
More reviews on the company profile.
Interview experience · Senior Consultant
I attended a walk in interview drive. The arrangement was good and the panel was knowledgeable. The questions were moderately difficult and there was two technical rounds, followed by a HR round.
Average difficulty · India · 17,487 reports
More interview insightsJob description
Overview
The Data Engineer is responsible for large scale data ingestion and data modeling initiatives, defines raw to curated data conversion standards, establishes robust data validation frameworks, optimizes data operations performance, and ensures secure data access and classification.
Responsibilities
- The Data Engineer is responsible for large scale data ingestion and data modeling initiatives, defines raw to curated data conversion standards, establishes robust data validation frameworks, optimizes data operations performance, and ensures secure data access and classification.
Qualifications
- Exp:- 4 to 6 Years
- Location:- Bengaluru or else Pan India
- Strong experience leading data engineering teams in enterprise or large scale environments.
- Deep expertise in data ingestion architectures, schema design, data modeling, and transformation pipelines.
- Hands on experience designing data validation and quality frameworks.
- Proven ability to optimize performance and reliability of data platforms.
- Strong communication, technical decision making, and stakeholder management skills.
- Strong hands-on experience with Python, SQL, and ETL/ELT pipeline development.
- Working knowledge of Azure AI Search + Foundry Knowledge, Azure Event Grid, Azure Machine Learning, Azure ML Feature Store.
- Ability to parse semi-structured data from CSV, JSON, logs, SNMP trap payloads, and alarm text.
- Understanding of network topology concepts: device, interface, link, LAG, site, region, upstream/downstream, service dependency.
- Familiarity with OpenSearch, DynamoDB, Redshift, PostgreSQL, or vector databases.
- Good understanding of security, access control, encryption, and audit logging in Azure
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