Amazon Data Engineer I SPS Recruitment 2026 – Eligibility & Skills

Amazon Data Engineer I SPS Recruitment 2026: Amazon has an opening for Data Engineer I, SPS in Bengaluru. The role is part of the Selling Partner Insights and Analytics (SPIA) team and is focused on data pipelines, data modelling, data warehousing and large-scale data systems.

This job is suitable for candidates who already have some experience in data engineering. It is not a general fresher opening, as Amazon has mentioned 1+ years of data engineering experience in the basic qualifications.

The role also involves working with SQL, ETL pipelines and scripting languages such as Python. Candidates with experience in AWS, Spark, Hive, Hadoop or EMR may also find their background relevant to the position.

Amazon Data Engineer I SPS Recruitment 2026

What Does a Data Engineer I Do at Amazon?

A Data Engineer works behind the scenes to make business data easy to collect, process, store and use.

In this Amazon role, the engineer will work on data infrastructure and pipelines that support reporting, analytics and machine learning use cases.

The job is connected with Amazon's Selling Partner Insights and Analytics organisation. The team works on the data platform supporting Paragon, a large Human-in-the-Loop platform used within Selling Partner Services.

Amazon says this platform handles more than 500 million cases every year and is used by more than 200 teams and 70,000 users.

For a candidate, the important thing to understand is that this is not simply a job where you write SQL queries or create reports. The role covers the wider data engineering process.

Key Responsibilities For Amazon Data Engineer I SPS Recruitment 2026

As a Data Engineer I, your work can include:

• Designing and maintaining scalable data pipelines on AWS.

• Preparing data for reporting, analytics and ML/LLM models.

• Creating logical data models and data architectures.

• Working with business teams to understand data requirements.

• Supporting large datasets and making data exploration easier.

• Implementing data access controls.

• Building automation to reduce manual work.

• Working across design, development, testing and maintenance.

• Improving data availability, consistency and overall system efficiency.

Amazon Data Engineer I Eligibility

Amazon has kept the basic requirements focused on practical data engineering skills.

Candidates should have:

• 1+ years of data engineering experience

• Experience with SQL

• Experience with data modelling and data warehousing

• Experience building ETL pipelines

• Experience with a query language such as SQL, PL/SQL, HiveQL or SparkSQL

• Experience with a scripting language such as Python or KornShell

• A Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems or a related field

The experience requirement is important. Candidates should not assume that the "Data Engineer I" title means the role is open to all fresh graduates.

Preferred Skills for Amazon Data Engineer Job

Some skills are listed as preferred rather than basic requirements.

These include:

• Hadoop

• Hive

• Spark

• EMR

• Informatica

• ODI

• SSIS

• BODI

• Datastage

• AWS Infrastructure

You should not add these technologies to your resume just because they appear in the job description. Mention them only when you have actually used them in a project, internship or job.

Skills You Should Have for This Role

SQL

SQL is one of the most important skills for this position. You should be comfortable working with joins, subqueries, CTEs, aggregations and window functions.

ETL

You should understand how data moves from a source system to a final database or warehouse. Knowing how to clean, transform and load data is important for a Data Engineer.

Data Modelling

You should understand how data is structured and how different tables are connected. Basic knowledge of fact tables, dimension tables and warehouse design can help.

Python

Python can be useful for data processing, automation and scripting. You should focus on practical usage rather than only knowing Python syntax.

Cloud and Big Data

AWS knowledge is listed as a preferred skill. Experience with Spark, Hive, Hadoop or EMR can also be useful for this type of role.

BerojgarShala Analysis

This is the part many candidates miss when they read a Data Engineer job description.

Amazon is not simply asking for someone who has learned SQL and Python. The requirement of 1+ years of data engineering experience suggests that the company is looking for candidates who have already worked with real data systems.

For example, your experience becomes more relevant when you have actually worked on things such as:

• Building or maintaining ETL pipelines

• Handling large datasets

• Writing SQL for business requirements

• Creating or modifying data models

• Automating repetitive data tasks

• Fixing data quality or pipeline issues

• Working with cloud-based data systems

A resume that only says "SQL, Python, AWS, Spark" does not tell the full story.

Instead, explain what you actually did.

For example:

Weak:
"Worked on SQL and Python."

Better:
"Used SQL and Python to transform business data and automate a recurring data processing task."

The second version gives the recruiter a clearer idea of your actual work.

Is This a Fresher Job?

No. This is an important point for applicants.

Amazon has specifically listed 1+ years of data engineering experience under the basic qualifications.

A fresher with only a degree and no relevant professional experience should not treat this as a standard fresher recruitment drive.

Candidates who have around one year or more of relevant experience should compare their actual work with the requirements before applying.

Who Can Apply for Amazon Data Engineer I?

This role may be relevant for:

• Data Engineers with 1+ years of experience

• Software professionals who have moved into data engineering

• Candidates working with SQL and ETL pipelines

• Professionals with data warehouse experience

• Candidates with practical Python-based data projects

• Engineers who have worked with AWS or big-data technologies

Your job title does not have to be exactly the same as the Amazon title. What matters more is whether your actual work matches the skills required for the role.

How to Prepare for Amazon Data Engineer Interview

Start with SQL.

Practice:

• Joins

• CTEs

• Subqueries

• Window functions

• Aggregations

• Filtering

• Query optimisation

• Working with large datasets

After SQL, revise ETL and data warehousing concepts.

You should be able to explain how data moves from the source to the final destination and what happens during each stage.

Next, prepare your Python skills for practical data processing and automation.

Candidates with AWS or big-data experience should also revise the projects where they used these technologies.

Most importantly, be ready to explain one or two projects in detail. You should know what problem you were solving, where the data came from, what you built, which tools you used and what problems you faced.

Resume Tips for Amazon Data Engineer I

Your resume should match the job naturally.

Put the most relevant skills near the top, especially:

SQL | ETL | Data Modelling | Data Warehousing | Python

Then use your experience section to show how you used those skills.

Avoid filling the resume with every technology you have ever studied. A shorter list of skills backed by real work is more useful than a long list with no practical examples.

Also check your project descriptions for clarity. A recruiter should be able to understand your contribution without reading a paragraph full of technical terms.

Salary for Amazon Data Engineer I

The Amazon job listing does not mention a specific salary for this position.

Candidates should therefore avoid treating salary figures found on third-party websites as the official salary for this particular opening. The actual compensation can depend on the role, location, experience and Amazon's hiring process.

Location

The job is listed in Bengaluru, Karnataka, India.

How to Apply for Amazon Data Engineer I SPS Recruitment 2026?

Candidates can search for Amazon Job ID 10530755 on the Amazon Jobs website and complete the application process.

Before applying, make sure your resume clearly shows your relevant experience in data engineering, SQL, ETL, data modelling and scripting.

Apply Now

Final Words

The Amazon Data Engineer I, SPS role is aimed at candidates who already have hands-on experience in data engineering.

The most important areas to focus on are SQL, ETL, data modelling, data warehousing and Python. AWS and big-data technologies such as Spark, Hive, Hadoop and EMR can also be useful, especially for candidates who already have experience with them.

For applicants, the main thing to check before applying is the 1+ years of data engineering experience requirement. Your resume should also explain your actual work instead of simply listing technical keywords.

Frequently Asked Questions

Is Amazon Data Engineer I, SPS a fresher job?

No. The job requires 1+ years of data engineering experience.

What is the Amazon Data Engineer I job location?

The position is based in Bengaluru, Karnataka.

Is SQL required for this Amazon job?

Yes. SQL is specifically mentioned in the basic qualifications.

Is Python required?

Amazon asks for experience with a scripting language such as Python or KornShell.

What degree is required for this role?

A Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems or a related field is required.

Is AWS mandatory for this job?

AWS Infrastructure is mentioned under the preferred qualifications, not the basic qualifications.

Which big data skills are preferred?

Amazon has mentioned Hadoop, Hive, Spark and EMR as preferred skills.

How much experience is needed?

Amazon has mentioned at least 1 year of data engineering experience.