Aws S3 Data Lake

Aws S3 Data Lake Developer Jobs

2 jobs found

Today

Data Engineer, WW Ops Finance - S&A

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

Today

$132k - $179k/yr Full time Amazon Emr Amazon Web Services AWS

Apply Now

Job Description

Amazon is hiring a customer-centric Data Engineer to help build and scale a unified data management and discovery platform for global Finance teams.

Responsibilities

Design, build, and maintain scalable data pipelines and ETL workflows using Python, SQL, and AWS services (S3, Glue, Redshift, Lambda, EMR, MWAA)
Develop and optimize data models, metadata management frameworks, and catalog systems to enable fast, reliable data discovery for thousands of internal customers
Build and maintain microservices and APIs using API Gateway and Lambda to support platform capabilities such as search, data ingestion, and cross-service integrations
Implement data quality frameworks, monitoring, and alerting to maintain reliability, freshness, and governance compliance
Automate data onboarding and self-service workflows to reduce manual work and improve time-to-insight
Partner with product managers, BI engineers, and business stakeholders to translate business requirements into scalable technical solutions
Participate in system design, code reviews, and operational excellence practices including incident response, root cause analysis, and continuous improvement
Contribute to GenAI-powered features and AI-driven workflows that improve the data discovery and analytics experience

Requirements

3+ years of data engineering experience
1+ year developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
1+ year developing and operating large-scale data structures for business intelligence analytics using SQL
1+ year developing and operating large-scale data structures for business intelligence analytics using Oracle
1+ year developing and operating large-scale data structures using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes
Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or related field
Experience with data modeling, warehousing, and building ETL pipelines

Technology Stack

Python, SQL
AWS services: S3, Glue, Redshift, Lambda, EMR, MWAA
API Gateway, ETL, ELT
Oracle
OLAP technologies, DataZone, OpenSearch
Kinesis, FireHose, IAM roles and permissions
Non-relational databases/data stores: object storage, document/key-value stores, graph databases, column-family databases
Apache Spark, Elastic Map Reduce

Preferred Qualifications

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases/data stores (object storage, document/key-value stores, graph databases, column-family databases)
Experience with Apache Spark / Elastic Map Reduce

Benefits

Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance and option for Supplemental life plans
EAP
Mental Health Support
Medical Advice Line
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

Worldwide Operations Finance Standardization & Automation (S&A) organization
Building a unified data management and discovery platform serving global Finance teams
Platform includes a dataset catalog, metric catalog, AI assistant, and interactive query experience to help thousands of customers find and act on data faster
Rapid scaling to support 10+ domains and data producer teams
Tech includes AWS services (DataZone, OpenSearch, API Gateway, Lambda), microservices architecture, and modern frontend frameworks

Location: Bellevue, WA (onsite)

Compensation: USD 132,100 - 178,800 per year

View full job page →

1d ago

AWS Glue Data Engineer

Realign LLC Phoenix, AZ

Phoenix, AZ

1d ago

$120k+/yr Full time Backend Developer Amazon Web Services AWS

Apply Now

Job Description

Realign LLC is hiring an AWS Glue Data Engineer to design and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark. This role is based onsite in Phoenix, Arizona and includes opportunities to work closely with the cloud engineering team on a GovCloud proof of concept, plus hands-on conversion of existing SQL logic into maintainable PySpark while validating data quality and performance. The role is supported by a competitive USD 120,000 yearly salary.

What you’ll do

Design, build, test, and optimize scalable ETL pipelines using AWS Glue and PySpark/Spark
Configure and maintain AWS Glue Crawlers, Data Catalog objects, jobs, workflows, and connections
Integrate AWS Glue workloads with Snowflake using SQL and supported connectors
Implement data access, governance, and security controls using AWS Lake Formation
Collaborate directly with the cloud engineering team to deliver a proof of concept in a GovCloud environment
Convert existing SQL logic into maintainable PySpark and validate data quality and performance
Document architecture, configuration, deployment steps, test results, risks, and operational handover
Participate in an onsite Phoenix buildout week and support troubleshooting through POC completion
Maintain strong written and verbal communication with technical stakeholders in a fast-paced POC environment
Own deliverables, track risks and dependencies, and provide timely status reporting

What you’ll bring

Hands-on AWS Glue experience, including PySpark/Spark ETL development, Crawlers, and Data Catalog
Snowflake experience including SQL, connectors, and basic administration
Experience with AWS Lake Formation for data governance
Eligibility to work on ITAR/export-controlled GovCloud engagements, with US citizenship required
Ability to work onsite in Phoenix, Arizona during the buildout week

Helpful experience

Snowflake Catalog Federation and/or Iceberg REST Catalog experience
Experience with Kiro or another agentic IDE for SQL-to-PySpark code conversion
Hub-and-Spoke VPC architecture and inspection firewalls experience, preferably Check Point

Key technologies: AWS Glue, PySpark, Spark, AWS Glue Crawlers, Data Catalog, Snowflake, SQL, AWS Lake Formation, AWS Glue Data Catalog objects, AWS Glue jobs, AWS Glue workflows, AWS Glue connections, GovCloud.

View full job page →

Aws S3 Data Lake Developer Jobs

Data Engineer, WW Ops Finance - S&A

AWS Glue Data Engineer

Get Aws S3 Data Lake Developer Jobs alerts