Data Engineer, ShipTech Analytics at Amazon, Hyderabad
About the job
Amazon is hiring a Data Engineer for its ShipTech Analytics (STA) team in Hyderabad. The team builds the data and analytics backbone for Amazon’s global transportation network. The role needs 3+ years of data engineering experience.
You will build near-real-time (NRT) streaming and batch pipelines on AWS. You will also build data tools for self-service analytics and AI-powered automation. The source text also refers to the role as Data Engineer II.
Job Details
- Company: Amazon
- Team: ShipTech Analytics (STA)
- Role: Data Engineer
- Job ID: 10594179
- Office code: ADCI HYD 13 SEZ
- Location: Hyderabad, Telangana
- Experience: 3+ years
- Salary: Not disclosed
- Job category on source: Business Intelligence
What You’ll Do
- Design and build scalable NRT streaming and batch data pipelines for Amazon’s global transportation network.
- Build data products and tools that cover ingestion, processing, backfill, storage, vending and operational support.
- Work with operations and analytics stakeholders to understand needs and deliver datasets and tools.
- Own data quality and improve datasets that support operational excellence and customer experience.
- Work with cross-functional teams to standardize analytics and build AI-powered automation.
- Use AWS cloud technologies to turn raw data into usable metrics.
- Support code reviews, design discussions, operational best practices and security compliance.
A Typical Day
- Work backwards from stakeholder needs and clarify open questions.
- Write pipeline code and build data tools alongside software engineers.
- Join design discussions on data infrastructure, pipelines and tools.
- Document datasets, tools and runbooks.
- Review code and mentor teammates.
- Monitor pipeline health when on call.
What You Need
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with SQL.
- Experience in at least one scripting or programming language, such as Python, Java, Scala or NodeJS.
- Experience building or operating highly available, distributed systems for extracting, ingesting and processing large datasets.
- Experience with big data technologies such as Hadoop, Hive, Spark and EMR.
Preferred Skills
- AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Non-relational data stores, including object storage, document, key-value, graph and column-family databases.
- Batch and streaming architectures such as Kafka, Kinesis, Flink, Storm and Beam.
About the Team
ShipTech Analytics provides standardized data solutions that help operations teams worldwide make faster decisions. The team is modernizing its systems, building NRT architectures and adding AI-powered automation. Team members work with partners across several locations.
How to Apply
- Check that you meet the 3+ years requirement and the core skills above.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Quote Job ID 10594179 if you contact the recruiting team.
Before You Apply
- Prepare examples of NRT and batch pipelines you have built.
- Be ready to discuss SQL, data modeling and distributed data processing.
- Candidates who need an accommodation during hiring can request one through Amazon’s accommodations page, linked on the original listing.
Skills
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Job Details
About Amazon
Amazon is a global technology and retail company. This role sits in ShipTech Analytics, the data and analytics team for Amazon’s global transportation network.
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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 for its ShipTech Analytics (STA) team in Hyderabad. The team builds the data and analytics backbone for Amazon’s global transportation network. The role needs 3+ years of data engineering experience.
You will build near-real-time (NRT) streaming and batch pipelines on AWS. You will also build data tools for self-service analytics and AI-powered automation. The source text also refers to the role as Data Engineer II.
Job Details
- Company: Amazon
- Team: ShipTech Analytics (STA)
- Role: Data Engineer
- Job ID: 10594179
- Office code: ADCI HYD 13 SEZ
- Location: Hyderabad, Telangana
- Experience: 3+ years
- Salary: Not disclosed
- Job category on source: Business Intelligence
What You’ll Do
- Design and build scalable NRT streaming and batch data pipelines for Amazon’s global transportation network.
- Build data products and tools that cover ingestion, processing, backfill, storage, vending and operational support.
- Work with operations and analytics stakeholders to understand needs and deliver datasets and tools.
- Own data quality and improve datasets that support operational excellence and customer experience.
- Work with cross-functional teams to standardize analytics and build AI-powered automation.
- Use AWS cloud technologies to turn raw data into usable metrics.
- Support code reviews, design discussions, operational best practices and security compliance.
A Typical Day
- Work backwards from stakeholder needs and clarify open questions.
- Write pipeline code and build data tools alongside software engineers.
- Join design discussions on data infrastructure, pipelines and tools.
- Document datasets, tools and runbooks.
- Review code and mentor teammates.
- Monitor pipeline health when on call.
What You Need
- 3+ years of data engineering experience.
- Experience with data modeling, warehousing and building ETL pipelines.
- Experience with SQL.
- Experience in at least one scripting or programming language, such as Python, Java, Scala or NodeJS.
- Experience building or operating highly available, distributed systems for extracting, ingesting and processing large datasets.
- Experience with big data technologies such as Hadoop, Hive, Spark and EMR.
Preferred Skills
- AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Non-relational data stores, including object storage, document, key-value, graph and column-family databases.
- Batch and streaming architectures such as Kafka, Kinesis, Flink, Storm and Beam.
About the Team
ShipTech Analytics provides standardized data solutions that help operations teams worldwide make faster decisions. The team is modernizing its systems, building NRT architectures and adding AI-powered automation. Team members work with partners across several locations.
How to Apply
- Check that you meet the 3+ years requirement and the core skills above.
- Use Apply on Original Source ↗ at the top of this job page to open the original listing and follow its application instructions.
- Quote Job ID 10594179 if you contact the recruiting team.
Before You Apply
- Prepare examples of NRT and batch pipelines you have built.
- Be ready to discuss SQL, data modeling and distributed data processing.
- Candidates who need an accommodation during hiring can request one through Amazon’s accommodations page, linked on the original listing.