AWS Software Engineer

Description:

**Onsite | Charlotte, NC**

Our client has an exciting opportunity for an AWS Software Engineer.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80 - $85 / hr. w2

• Provide technical direction, guide the team on key technical aspects, and be responsible for product tech delivery.
• Lead the design, build, test, and deployment of components in collaboration with Lead Developers (Data Engineer, Software Engineer, Data Scientist, Technical Test Lead).
• Understand requirements/use cases to outline technical scope and lead delivery of technical solutions.
• Work closely with the Product Owner to align on delivery goals and timing.
• Collaborate with Data and Solution architects on key technical decisions.
• Lead design and implementation of data quality check methods.
• Ensure Test Driven Development.
• Strong skills with business stakeholder interactions.
• Ensure data security and permissions solutions, including data encryption, user access controls, and logging.

• At least 5+ years in a Data Engineering role.
• Must-Have Tech Experience:
  
  
  
  • AWS Tech Stack:
    
    
    
    • AWS Lakeformation
    • AWS EMR
    • Apache Hudi
    • Flink
    • Aurora
    • PostgreSQL
    • AWS Glue (Glue Catalog, Glue ETL, and Crawler)
    • AWS Athena
    • Redshift
    • SageMaker/ML
    • AWS Lambda
    • DynamoDB
    • RDS (Relational Database Services)
    
    
  • AWS S3: Strong foundational concepts like object data store vs block data store, encryption/decryption, storage tiers, etc.
  • Implementation and tuning experience in Streaming use cases and Big Data Ecosystem (such as EMR, Hadoop, Spark, Hudi, Kafka/Kinesis, etc.)
  • Ability to build scalable data infrastructure and understand distributed systems concepts from a data storage and compute perspective.
  • Good understanding of Data Lake and Data Warehouse concepts. Familiarity with Modern Data Architecture.
  • Ability to define standards and guidelines with an understanding of various compliance and auditing needs.
  • Proficiency in Python or Java for large volume data processing.
  • Terraform Enterprise.
  • Kafka
  • Qlik Replicate
  
  

Additional Helpful Experience:

• AWS Services: CloudTrail, SNS, SQS, CloudWatch, Step Functions
• Experience with Secrets Management Platforms like Vault and AWS Secrets Manager
• Experience with DevOps pipeline (CI/CD) - Bitbucket; Concourse
• Experience with RDBMS platforms and strong proficiency with SQL
• Knowledge of IAM roles and policies
• Experience with Event-Driven Architecture
• Experience with native AWS technologies for data and analytics such as Kinesis, OpenSearch
• Databases: Document DB, Mongo DB
• Hadoop platform (Hive; HBase; Druid)
• Java, Scala, Node JS
• Workflow Automation
• Experience transitioning on-premise big data platforms into cloud-based platforms such as AWS
• Background in Kubernetes, Distributed Systems, Microservice architecture, and containers
• Experience with REST APIs and API gateway
• Deep understanding of networking DNS, TCP/IP, and VPN
• Kafka Schema Registry
• Confluent Avro
• Linux and Bash Scripting

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