Data Engineer I, DSP Analytics at Amazon, Hyderabad
About the job
Amazon is hiring a Data Engineer I for its Delivery Service Partner (DSP) Analytics team in Hyderabad. The role builds real-time and batch data pipelines and the data infrastructure behind analytics and Generative AI applications. It needs 1+ years of data engineering experience.
You will work with data scientists, economists and analysts. You will also help develop agents that automate the data operations lifecycle.
Job Details
- Company: Amazon
- Role: Data Engineer I, DSP Analytics
- Job ID: 10551531
- Location: Hyderabad, Telangana (ADCI HYD 13 SEZ)
- Experience: 1+ years of data engineering
- Salary: Not disclosed
- Team: DSP Analytics
What You’ll Do
- Design, build and maintain data pipelines that acquire, process and store data from databases, APIs and external providers.
- Develop and optimize ETL processes that clean, enrich and structure raw data for analysis and reporting.
- Implement and manage data warehousing solutions for efficient storage, retrieval and query performance.
- Set data quality standards, validate data and fix quality issues early.
- Optimize pipelines and storage for large data volumes, performance and reliability.
- Apply access controls, encryption and data protection compliance.
- Work with data scientists, analysts and stakeholders to meet their data needs.
- Document data pipelines, data models and processes.
- Set up monitoring to detect pipeline failures and performance bottlenecks.
- Track data engineering trends and recommend improvements to the data infrastructure.
What You Need
- 1+ years of data engineering experience.
- Experience with SQL.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL or Scala.
- Experience with one or more scripting languages, such as Python or KornShell.
- Knowledge of database, data warehouse or data lake solutions.
Preferred Skills
- Big data technologies such as Hadoop, Hive, Spark and EMR.
- Basics of data schema design, including normalization and relational versus dimensional models.
- AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Experience using generative AI tools to improve workflow efficiency, including writing effective prompts and checking AI outputs.
- Experience finding ways to add AI solutions to products and services for business value.
About the Team
The Amazon DSP Analytics team supports all business pillars across the DSP organization. Its goal is data-, insights- and science-driven decision-making.
How to Apply
- Check that you meet the 1+ years data engineering requirement.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Mention the Job ID 10551531 if you contact the recruiting team.
Before You Apply
- Prepare examples of ETL pipelines, data models and warehouse work.
- Revise SQL and one scripting language, such as Python.
- Be ready to explain how you have used AWS or generative AI tools, if you have.
Skills
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Job Details
About Amazon
Amazon is a global technology and retail company. This role sits in its Delivery Service Partner (DSP) Analytics team in Hyderabad.
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JobsInHyd is a job discovery platform and is not the employer or recruiter for this position. Job details are sourced from the original application source and may change. Please verify the latest information before applying.
JobsInHyd does not guarantee hiring outcomes.Amazon is hiring a Data Engineer I for its Delivery Service Partner (DSP) Analytics team in Hyderabad. The role builds real-time and batch data pipelines and the data infrastructure behind analytics and Generative AI applications. It needs 1+ years of data engineering experience.
You will work with data scientists, economists and analysts. You will also help develop agents that automate the data operations lifecycle.
Job Details
- Company: Amazon
- Role: Data Engineer I, DSP Analytics
- Job ID: 10551531
- Location: Hyderabad, Telangana (ADCI HYD 13 SEZ)
- Experience: 1+ years of data engineering
- Salary: Not disclosed
- Team: DSP Analytics
What You’ll Do
- Design, build and maintain data pipelines that acquire, process and store data from databases, APIs and external providers.
- Develop and optimize ETL processes that clean, enrich and structure raw data for analysis and reporting.
- Implement and manage data warehousing solutions for efficient storage, retrieval and query performance.
- Set data quality standards, validate data and fix quality issues early.
- Optimize pipelines and storage for large data volumes, performance and reliability.
- Apply access controls, encryption and data protection compliance.
- Work with data scientists, analysts and stakeholders to meet their data needs.
- Document data pipelines, data models and processes.
- Set up monitoring to detect pipeline failures and performance bottlenecks.
- Track data engineering trends and recommend improvements to the data infrastructure.
What You Need
- 1+ years of data engineering experience.
- Experience with SQL.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL or Scala.
- Experience with one or more scripting languages, such as Python or KornShell.
- Knowledge of database, data warehouse or data lake solutions.
Preferred Skills
- Big data technologies such as Hadoop, Hive, Spark and EMR.
- Basics of data schema design, including normalization and relational versus dimensional models.
- AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Experience using generative AI tools to improve workflow efficiency, including writing effective prompts and checking AI outputs.
- Experience finding ways to add AI solutions to products and services for business value.
About the Team
The Amazon DSP Analytics team supports all business pillars across the DSP organization. Its goal is data-, insights- and science-driven decision-making.
How to Apply
- Check that you meet the 1+ years data engineering requirement.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Mention the Job ID 10551531 if you contact the recruiting team.
Before You Apply
- Prepare examples of ETL pipelines, data models and warehouse work.
- Revise SQL and one scripting language, such as Python.
- Be ready to explain how you have used AWS or generative AI tools, if you have.