Capgemini Hiring Data Engineer Job| ₹20,000 – ₹45,000/- per Month

• Job Title: Data Engineer Job
• Company: Capgemini
• Salary: ₹20,000 – ₹45,000/- a Month
• Degree: B. Tech/B. E
• Location: Multiple Locations (India)
• Job Type: Full-Time
• Experience: 2+ years

About Capgemini:

Capgemini is an international leader in consulting, technology services, and virtual transformation. With a sturdy presence at some stage in more than 50 international locations, Capgemini works with pinnacle corporations to release opportunities in the evolving digital landscape.

Capgemini’s Data Engineering institution is pivotal in offering innovative answers to assist organizations flip their information into valuable insights.

Job Overview: Data Engineer Job

As a Data Engineer at Capgemini, you may be accountable for building, retaining, and optimizing information pipelines, and information architectures, and making sure facts are accessible for analytics and agency intelligence features. You will work carefully with data scientists, analysts, and one-among-a-type stakeholders to deliver information-driven answers that assist the organization make knowledgeable choices.

This characteristic calls for deep know-how of information architectures, cloud structures, and advanced gadgets for information integration and transformation.

Key Responsibilities: Data Engineer Job

1. Data Pipeline Development:

• Design, boom, and manipulate information pipelines to manual statistics warehousing, ETL methods, and real-time streaming analytics.
• Ensure that records are amassed from various sources, wiped clean, shown, and made available in a usable format.

2. Data Modeling and Architecture:

• Build and hold scalable, fault-tolerant architectures for big-scale statistics processing.
• Design and position into effect effective database structures that useful useful resource employer targets and records desires.

3. Data Integration and Transformation:

• Integrate information from multiple sources at the side of relational databases, APIs, and flat files.
• Ensure the accuracy, completeness, and consistency of facts through transformation and facts validation techniques.

4. Cloud Data Solutions:

• Work with cloud structures that incorporate AWS, Azure, or Google Cloud to put into impact and optimize cloud-based really facts garage and processing solutions.
• Utilize cloud-local gear and offerings for green data processing and storage.

5. Documentation and Reporting:

• Maintain entire documentation of information structures, workflows, and pipelines.
• Regularly file development, demanding situations, and key metrics to stakeholders.

Technical Skills Required:

1. Cloud Platforms:

• Hands-on experience with cloud structures inclusive of AWS, Microsoft Azure, or Google Cloud Platform.
• Knowledge of cloud facts services together with AWS S3, AWS Glue, Azure Data Lake, or BigQuery.

2. ETL Processes:

• In-depth know-how of Extract, Transform, Load (ETL) approaches and the functionality to layout and put into effect ETL pipelines using machines like Informatica, Talend, or Apache NiFi.

3. Big Data Technologies:

• Experience running with large records technology which includes Hadoop, Hive, and Spark for massive-scale statistics processing.

4. DevOps and Automation:

• Familiarity with DevOps tools like Jenkins, Git, Docker, and Kubernetes for deploying and managing facts solutions.
• Experience with CI/CD pipelines and automating facts workflows.

5. Data Visualization:

• Basic information of statistics visualization tools which incorporates Tableau, Power BI, or Looker to assist with statistics presentation.

Soft Skills and Competencies: Data Engineer Job

1. Problem-Solving: Ability to address complex records disturbing conditions and devise efficient solutions.
2. Communication: Strong communication abilities to collaborate with pass-purposeful groups and gift facts and insights virtually to non-technical stakeholders.
3. Attention to Detail: Meticulous interest in statistics accuracy, ensuring the outstanding and consistency of outputs.

Qualifications: Data Engineer Job

1. Bachelor’s diploma in Computer Science, Information Technology, Data Science, or an associated project (Master’s diploma desired).
2. 2+ years of experience in statistics engineering or a comparable feature.
3. Experience with big-scale information systems and architectures.

Why Join Capgemini Data Engineer Job?

• Opportunity to work with current information technology and progressive obligations.
• Collaborative and inclusive painting lifestyle.
• Competitive profits and benefits.
• Global publicity with principal customers from numerous industries.

Capgemini offers you the hazard to enhance your career on the equal time as contributing to a main global company. Join us to assemble your destiny as a Data Engineer and make an effect inside the global of records-pushed choice-making.

Click Here To Apply Online

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