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Amazon • charlotte nc
Amazon S3 Engineer
The Judge GroupCharlotte, NCAmazon S3 Engineer
Appxpertise IncCharlotte, NC, USSr. Solutions Architect, Senior Solutions Architect, Financial Services Banking and Lending
Amazon Web Services, Inc.Charlotte, North Carolina, USAAmazon Sales Strategist
Dealer eProcessCharlotte, NC, USAmazon Freight Partner – Regional CDL-A Solo-2 Driver| $46.8K–$55.5K/Year
Amazon Freight PartnerCharlotte, NC, USAPhalanx Logistics-Charlotte, NC - Class A CDL Driver Solo 5 (OTR- 5 Days Out)
Phalanx LogisticsCharlotte, NC, USGenerator Technician
Power PlusCharlotte, NC, USTransportation Operations Manager
Amazon.com Services LLCCharlotte, North Carolina, USAFullstack Java/React Developer
TEKsystemsCharlotte, NC, USSenior AWS Solution Architect
Random BitCharlotte, NC, USole: Senior Data Analyst – IT Data Platform Location: Charlotte, NC (Onsite) Start Date: Immediate
HANCharlotte, NCDelivery Driver – Drop Off Logistics
Drop Off Logistics LLCCharlotte, North Carolina, United StatesAmazon Connect Developer
MaximusCharlotte, NC, USCLT - AQMCF - Class A CDL Driver Solo 5 (OTR - 5 Days Out)
Qualitative Strategies LLCCharlotte, NC, USEntry-Level Data Analysis Coordinator (Remote)
FocusGroupPanelCharlotte, North Carolina, United StatesSenior Application Security Data Engineer
VanguardCharlotte, NC, USSoftware Engineer IV
Meridian TechnologiesCharlotte, NC, USE-Commerce & Inventory Operations Specialist
Automation Personnel ServicesCharlotte, NC, USDevOps Engineer w/TS/SCI POLY
Parsons CorporationCharlotte,NC,USThe average salary range is between $ 32,175 and $ 35,348 year , with the average salary hovering around $ 32,175 year .
- buying (from $ 39,000 to $ 262,500 year)
- facilities management (from $ 78,443 to $ 250,000 year)
- psychiatrist (from $ 20,000 to $ 246,870 year)
- physician (from $ 75,255 to $ 237,500 year)
- private equity (from $ 87,500 to $ 230,410 year)
- medical director (from $ 40,000 to $ 230,000 year)
- venture capital (from $ 195,000 to $ 225,000 year)
- investment banker (from $ 173,300 to $ 222,200 year)
- administrative director (from $ 66,250 to $ 222,200 year)
- banker (from $ 29,250 to $ 222,200 year)
- Miramar, FL (from $ 33,150 to $ 167,700 year)
- Seattle, WA (from $ 35,667 to $ 141,100 year)
- Bellevue, WA (from $ 33,735 to $ 94,211 year)
- Irvine, CA (from $ 30,469 to $ 92,100 year)
- Atlanta, GA (from $ 31,005 to $ 77,050 year)
- Los Angeles, CA (from $ 32,175 to $ 72,603 year)
- Plano, TX (from $ 31,273 to $ 70,000 year)
- Chattanooga, TN (from $ 34,125 to $ 57,000 year)
- Chicago, IL (from $ 31,392 to $ 52,650 year)
The average salary range is between $ 32,175 and $ 42,880 year , with the average salary hovering around $ 35,528 year .
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Amazon S3 Engineer
The Judge GroupCharlotte, NC- Full-time
- Permanent
Job Title: Senior Amazon Data Engineer
Experience: 10+ Years
Location: Charlotte, NC or Plano, TX (Onsite)
Employment: Fulltime
Job Summary
We are seeking an experienced Senior Amazon Data Engineer to design, develop, and optimize large‑scale data pipelines within a cloud‑based data platform. The ideal candidate will have strong expertise in Amazon S3, AWS Data Engineering, PySpark, SQL, and ETL/ELT frameworks, along with hands‑on experience in banking and payments data domains.
This role involves building reliable, scalable data solutions, ensuring high data quality and integrity, and working closely with cross‑functional teams in a Cloudera-based big data environment.
Key Responsibilities
- Design, develop, and execute end‑to‑end data pipelines and validation test cases to ensure data accuracy, integrity, and quality.
- Build, implement, and optimize ETL/ELT workflows leveraging Amazon S3 for scalable data storage, retrieval, and processing.
- Develop scripts and automation for data movement between Amazon S3 and on‑prem or cloud platforms using PySpark, Shell scripting, or similar tools.
- Utilize Amazon S3 advanced features such as:
- Versioning
- Lifecycle policies
- Access control (IAM policies, bucket policies)
- Server-side encryption
- Monitor, troubleshoot, and optimize pipeline performance to ensure high availability and reliability.
- Collaborate with data engineers, developers, analysts, and business stakeholders to resolve data‑related issues efficiently.
- Validate and manage HiveQL, HDFS file structures, and data processing within Hadoop/Spark environments.
- Work within a metadata‑driven ETL framework and batch/job scheduling systems.
- Create and maintain technical documentation, ensuring adherence to data engineering best practices.
- Support data governance, data quality checks, and compliance requirements within a regulated banking environment.
Required Skills & Qualifications
Technical Skills
- Primary Skill: Amazon Data Engineering
- Secondary Skills:
- AWS Data Engineering
- Amazon S3 (storage, lifecycle management, security, automation)
- PySpark
- SQL
- Shell Scripting
- Autosys (job scheduling)
- Strong hands‑on experience with Hadoop, Spark, Hive, and HDFS
- Experience working with Oracle databases
- Strong understanding of data warehousing concepts, data transformation, and data quality frameworks
- Experience in Cloud Storage and AWS ecosystems
Tools & Platforms
- Amazon S3
- PySpark
- SQL
- Oracle
- Autosys
- Cloudera Platform
Domain Experience
- Banking domain experience is required
- Payments domain experience is preferred
Soft Skills
- Strong analytical and problem‑solving skills
- Excellent verbal and written communication skills
- Ability to collaborate effectively with cross‑functional and offshore teams
- Detail‑oriented with a strong focus on data accuracy and quality
Preferred Qualifications
- Experience with metadata‑driven ETL processes
- Exposure to large‑scale distributed data processing
- Familiarity with enterprise data governance and compliance standards