👉Amazon Careers:-

📌Amazon is a pioneer in digital transformation, setting new standards in retail, logistics, and cloud technology.

📌Amazon supports small businesses by offering them a global platform to reach millions of customers.

📌Amazon’s commitment to innovation is seen in its advancements in AI, logistics, and smart home technology.

📌Amazon Prime offers exclusive benefits like fast shipping, streaming services, and member-only deals.

📌From books to electronics, Amazon provides high-quality products at competitive prices.

📌Amazon is a global e-commerce leader known for its customer-centric approach and innovative technology solutions.

📌With its vast product selection and fast delivery services, Amazon has redefined online shopping worldwide.

📌Amazon Web Services (AWS) is a top cloud computing platform that powers millions of businesses globally.

📌Founded by Jeff Bezos in 1994, Amazon has become one of the most valuable and trusted brands in the world.

📌Amazon offers a seamless online shopping experience with secure payments and easy returns.

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🔔 Amazon Data Engineering & Analytics Job Alerts 2025 – Apply Now!

Are you passionate about data engineering, analytics, and cutting-edge cloud technologies? Do you dream of working for one of the world’s most innovative companies? Amazon is hiring dynamic and skilled professionals for the role of Data Engineer in its IN Data Engineering & Analytics team located in Bengaluru, Karnataka, India.

This is your chance to join a visionary team that simplifies and accelerates data-driven decision-making for Amazon India. Discover the full details of this exciting opportunity and learn how you can become part of Amazon’s world-class data infrastructure.

👉Introduction:-

Amazon, the global e-commerce and cloud computing leader, is expanding its India Data Engineering and Analytics (IDEA) team. The team is building a Unified Data & Analytics Infrastructure (UDAI) for Amazon India to support fast, easy, and high-quality access to data for smarter decision-making.

The company is on the lookout for innovative data engineers who can combine technical prowess, business acumen, and a solution-oriented approach to empower the organization’s data-driven culture. If you’re excited about working with big data technologies, solving complex problems, and contributing to business success, this role is perfect for you!

🧾Job Role Overview:-

This role involves designing, developing, and supporting Amazon India’s analytics infrastructure. The selected candidate will work closely with multiple tech teams to create scalable ETL pipelines, build datasets, and enable advanced analytics capabilities using AWS technologies and big data tools.

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👉Table Of Contents:-

Amazon Careers: Data Analyst & Engineer Roles – Immediate Applications Invited-

Company:	Amazon.
Position Title:	Data Engineer, IN Data Engineering & Analytics.
Qualification:	Graduation in Computer Science, Information Technology, Engineering, or a related field.
Skills Required:	Strong experience in SQL (structured query language).
Salary Range:	As per company standards (Competitive in industry).
Job Location:	Bengaluru, Karnataka, India.
Job Mode:	On-Site.
Employment Type:	Full-Time.
Experience:	1 year.
Job ID:	2984267.
Industry:	E-commerce, Cloud, Data Engineering.
Department:	Business Intelligence.

🎓Eligibility Criteria:-

To apply for this Data Engineering role, candidates must fulfill the following eligibility criteria:

• Educational Qualification:
  • Graduation in Computer Science, Information Technology, Engineering, or a related field.
• Work Experience:
  • Minimum 1 year of hands-on experience in data engineering or analytics.
• Technical Expertise:
  • Experience in building data infrastructure, ETL workflows, and scalable analytics systems.
• Communication Skills:
  • Must have strong verbal and written communication skills.

💰Salary Details:-

• Salary Package: As per company standards (Competitive in industry)
• Other Benefits:
  • Health Insurance
  • Paid Time Off
  • Provident Fund
  • Employee Discounts
  • Stock Options
  • Performance Bonuses

The exact salary will be disclosed during the final offer stage and is dependent on skills, experience, and interview performance.

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📍Job Location:-

• Location: Bengaluru, Karnataka, India
• Work Mode: On-Site / Office-based
• Bengaluru is Amazon’s tech and innovation hub in India, offering a vibrant and dynamic working environment.

🎂Age Requirement:-

There is no specific age limit mentioned by Amazon for this role. However, candidates must meet the minimum educational and professional experience requirements. Typically, applicants with at least 1+ years of experience in data engineering are preferred.

🛠️Required Skills:-

To be a successful candidate, you must have strong expertise in data engineering tools, frameworks, and methodologies. Below are the essential and preferred skills:

✅ Essential Skills-

• Strong experience in SQL (structured query language)
• Hands-on knowledge of data modeling, data warehousing, and ETL pipelines
• Familiarity with one or more query languages:
  • PL/SQL
  • DDL
  • MDX
  • HiveQL
  • SparkSQL
  • Scala
• Experience with one or more scripting languages:
  • Python
  • KornShell (KSH)

🌟 Preferred Skills-

• Experience with big data technologies such as:
  • Hadoop
  • Apache Hive
  • Apache Spark
  • AWS EMR
• Knowledge of AWS Infrastructure
• Understanding of data schema design:
  • Normalization
  • Relational vs. Dimensional models
• Familiarity with self-service reporting tools and data automation techniques

🧾Roles and Responsibilities:-

Amazon expects the selected candidate to take ownership and actively contribute to building scalable data solutions. Here are the key responsibilities:

• Design, implement, and support scalable data infrastructure for analytics.
• Collaborate with multiple teams to extract, transform, and load (ETL) data from diverse sources using SQL and AWS big data tools.
• Build and maintain ready-to-use datasets for reporting and analysis.
• Automate business analysis and develop dashboards/reports to support decision-making.
• Continuously improve reporting processes and self-service analytics tools.
• Stay updated with latest AWS and big data technologies.
• Work independently to solve business problems using innovative data solutions.
• Partner with business teams, understand requirements, and deliver insights with measurable business impact.
• Actively contribute to the UDAI (Unified Data & Analytics Infrastructure) initiative.

🎁 Advantages of Joining Amazon:-

• Work at one of the world’s most admired companies.
• Access to cutting-edge technology and tools.
• A chance to solve real-world big data challenges.
• Competitive salary and exceptional benefits.
• Opportunity for career growth and internal mobility.
• Inclusive, diverse, and global work environment.

⚙️Key Aspects of the Job:-

Aspect	Details
Job Type	Full-Time
Tech Stack	SQL, SparkSQL, Python, Hive, AWS
Experience Required	1+ Years
Education Required	Graduation
Domain	Business Intelligence / Data Engineering
Location	Bengaluru, India
Interview Mode	Likely Virtual / On-Site
Team Name	India Data Engineering and Analytics (IDEA)
Tools/Platforms	AWS, Hadoop, EMR, Spark, Hive, ETL Frameworks

🧲Why Join Amazon?

Here are compelling reasons to apply for this job:

• 🌍 Global Impact: Work on high-impact projects that affect millions of Amazon users in India.
• 📈 Career Growth: Learn, grow, and get promoted within Amazon’s global structure.
• 🔧 Innovation Culture: Be part of a team that values curiosity, experimentation, and bold ideas.
• 📊 Real-time Data Work: Develop real-time data pipelines and analytics tools using the latest tech.
• 🤝 Collaborative Environment: Work with some of the brightest minds in the industry.
• 💡 Learning Opportunities: Stay on top of emerging data technologies like AWS, EMR, and more.
• 🚀 Start-Up Mindset with Global Backing: Enjoy agility with the support of a global tech leader.

📝Application Process:-

If you meet the qualifications and are excited about the role, apply immediately to avoid missing out.

Click Here To Apply:-

🕒 Deadline: Apply before the link expires.

🔚Conclusion:-

Amazon is looking for passionate data engineers who are driven by the idea of creating intelligent, scalable, and reliable data systems. If you’re someone who thrives in a fast-paced environment and loves solving complex problems using technology, this is your golden opportunity.

Joining Amazon as a Data Engineer in the IN Data Engineering & Analytics team is more than just a job—it’s a step into a world of innovation, growth, and endless possibilities.