• Amazon Jobs Bangalore
• Job Role: Data Engineer I
• Salary: Not Disclosed 
• Location: Bengaluru, India
• Company: Amazon 
• Qualifications: Any Graduate 
• Experience: 1-3 years 

About Amazon 

Amazon is a global leader in e-commerce, cloud computing, digital streaming, and artificial intelligence. Directed by its mission to be the “Earth’s Customer-Financial Company”, it constantly innovates to increase customer experience. From its humble start as an online bookstore, it has expanded to a huge ecosystem involving Amazon Web Services (AWS), Alexa, Prime Video, and its unique logistics network. Its culture is defined by a set of leadership principles that encourage high levels of ownership, invention, long-term thinking, and excellence.

Job Description:

A data engineer at Amazon in Bangalore designs and maintains scalable data pipelines to process massive amounts of information on a large scale. This entry-level role focuses on automating ETL processes, ensuring data quality, and supporting the company’s data warehouse infrastructure. Cooperating with scientists and analysts, you will solve complex problems and provide reliable data for major business decisions. It is an opportunity to work with state-of-the-art AWS technologies and large data framework in a fast-moving, innovative environment.

Key Responsibilities: Amazon Jobs Bangalore

While accurate responsibilities may vary by the team (eg, consumer, AWS, advertisement), the main duties of a data engineer I at Amazon are universally challenging and rewarding. When you look for Amazon Jobs Bangalore, expect to see such marks:

• Designing and implementing scalable data pipelines: Your primary mission will be to create strong, automated, and scalable ETL (extract, transform, load) processes. This involves transferring a huge amount of data for analysis in a data warehouse or a data lake from various sources.
• Data Warehousing Solutions: You will be responsible for maintaining and optimizing parts of Amazon’s massive data warehouse. This involves working with techniques such as Amazon Redshift, Apache Hive, and other large data platforms to ensure that the data is accessible and protected
• Ensuring data quality and reliability: If the data is incorrect, then a pipeline is useless. You will implement data quality checks, monitoring, and verification structures to ensure the highest standards of data integrity and availability for your stakeholders.
• Cooperating with cross-structure teams: Data engineers are the bridge. You will work with data scientists, business intelligence engineers, software developers, and product managers, so that data requirements can be understood and distributed solutions that empower the data-operated decision making.
• Automatic for efficiency: A major Amazon leadership principle is “prejudice for action”. You will be expected to automate manual processes, optimize existing data flows for cost and performance, and seek ways to improve data ecosystems.
• Working with a large-scale dataset: Be prepared to handle the petabytes of data. You have to write efficient, distributed code to process the information efficiently without blowing the budget.

Necessary Qualifications: 

The “1-3 years” experience limit is important. The Amazon is looking for a debutant talent who has cut their teeth on real-world data problems and is ready to accelerate their development. If you are searching for Amazon Jobs Bangalore, make sure your profile matches these points:

1. Strong Programming Skills: Proficiency in at least one major programming language is non-negotiable. Python is a favorite for data engineering functions due to its rich ecosystem (pandas, Spark/PySpark, boto3. Java or Scala is also highly valuable, especially for large-scale distributed systems.
2. Specialization in SQL: Your ability to write complex, skilled, and customized SQL queries is the basis of this role. You should be comfortable with a large-scale SQLLQL engine, window functions, and query performance tuning.
3. Experience on hand with big data technologies: This is where the rubber meets the road. Practical experience with Apache Spark (for distributed processing), Hadoop Ecosystem tool (eg, Hive, HDFS), and AWS data services (Gum, EMR, S3, Redshift, Kinesis) has a massive profit.
4. Understanding of data modeling concepts: you should know that the skima for data warehousing – both dimensional (star and snowflake) and generalized for transaction systems. This ensures that the data is logically structured for its intended use.
5. Knowledge of ETL principles: a solid understanding of the end-to-end ETL/ELT process, including a scheduling tool (such as Apache Airflow), Workflow Automation, and data ingredient patterns (batch and streaming).
6. Problem-solution and communication: Technical skills get their feet in the door, but secure soft skills offers. Amazon looks for individuals who can understand vague business problems, break them down, and communicate their solutions to both technical and non-technical audiences effectively.

Amazon leadership theory: Your secret weapon

• Customer passion: How did your data work to direct the customer directly?
• Ownership: Describe a time when you went beyond your defined role to fix the data problem.
• Inventions and simplifications: How have you automated a process or created a simple solution?
• Learn and be curious: Which new data technology have you taught yourself?

Documents to Carry:

Absolutely. Here are documents to carry into a simple, format:

• A photo identity card issued by a government.
• Many printed copies of your update have been resumed.
• All educational degrees and mark sheets are original.
• Offer letters and any other company correspondence.
• Recently, passport-shaped photos.

Salary and profit:

Absolutely. Here are simple marks on salary and benefits in format:

• A competitive base salary with stock units (RSU).
• Display-based annual bonus capacity.
• Comprehensive health insurance for you and your family.
• Retirement savings scheme with employer contribution.
• Payment time and parents’ leave benefits.
• Employees’ Rebate 

FAQs:

Absolutely. Here are the FAQ in a format:

• What is the notice period for the current role?
• What is the next step in the interview process?
• Can you describe the work culture of the team?
• What are remote work opportunities?
• What are the major goals for this role in the first year?

How to tailor your application to Amazon Jobs Bangalore:

• Keyword optimization: Integrate your entire resumes, such as “data pipelines,” “ETL,” “Spark, “” Python, “” SQL, “and” Data Warehousing “. Recruiters who search for candidates from Amazon Jobs Bangalore will seek this vocabulary.
• Determine your effect: Do not only list duties. Use numbers. “Customizes a spark job, reducing the run time by 40% and $ x monthly savings.” “A pipeline processing 2TB of data was created daily.”
• Highlight the AWS experience: Regardless of these individual projects, experience with S3, Redshift, GLUE, or Athena, you speak the language of Amazon.
• Prepare your LP stories: 2-3 strong stories are ready for each major leadership principle. Practice them loudly.

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