Looking to launch your career as a Junior Data Engineer with one of the leading engineering and IT service providers in the world? Capgemini Engineering is hiring passionate data professionals to join their dynamic team. If you have skills in Python, data integration, and cloud technologies, this is a great opportunity to grow your career in data engineering.
🔍 Job Overview
- Position: Junior Data Engineer
- Company: Capgemini Engineering
- Location: PAN India (Hybrid)
- Job Type: Full-Time
- Experience Level: Entry-Level / Freshers with relevant skills
🏢 About Capgemini Engineering
Capgemini Engineering is a global leader in engineering and technology solutions, providing innovative services across industries. With a focus on digital transformation and data-driven strategies, Capgemini empowers employees with cutting-edge tools, technology, and career growth opportunities.
📝 Job Description
As a Junior Data Engineer, you will play a key role in designing, developing, and optimizing scalable data pipelines and systems. You’ll work on Cognite Data Fusion and Python-based data workflows to ensure seamless integration, quality, and accessibility of data across the organization.
🔑 Key Responsibilities:
- Data Pipeline Development: Build and optimize end-to-end ETL pipelines for large-scale structured and unstructured data.
- Data Integration: Automate data contextualization using Cognite Data Fusion to ensure efficient integration and accessibility.
- Programming: Write scalable and maintainable Python code for data processing workflows.
- Cross-Functional Collaboration: Work closely with data scientists, analysts, and business teams to deliver data solutions.
- Data Quality: Implement validation checks to ensure accuracy and reliability of data.
- Documentation: Create detailed documentation of workflows, pipelines, and architecture.
🎓 Required Skills & Qualifications:
- Bachelor’s degree in Computer Science, IT, Engineering, or related field.
- Proficiency in Python programming.
- Strong understanding of data modeling, database design, and data warehousing concepts.
- Experience with SQL and relational databases.
- Basic knowledge of AWS or Azure cloud platforms.
- Excellent communication, problem-solving, and analytical skills.
🌟 Preferred Qualifications:
- Experience with data pipeline and workflow management tools.
- Knowledge of Big Data technologies (Hadoop, Spark, etc.).
- Familiarity with data visualization tools (Grafana preferred).
🚀 Career Growth at Capgemini Engineering
Capgemini provides a strong learning ecosystem with access to advanced tools, certifications, and mentorship. As a Junior Data Engineer, you’ll work on cutting-edge projects and collaborate with global teams, making this role ideal for anyone aspiring to grow in data science, analytics, and engineering.
📝 How to Apply
To apply for this role, visit the Capgemini Engineering Careers Portal or check job listings on major job platforms like LinkedIn or Naukri. Prepare your resume to highlight your Python, SQL, and data engineering skills for better chances of selection.
🔑 Final Thoughts
If you’re looking to start or grow your career in data engineering, this Capgemini Junior Data Engineer position offers an excellent opportunity to work with cutting-edge technologies, collaborate globally, and gain hands-on experience in the ever-growing field of data analytics and engineering.
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