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AWS Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a 6-month contract, offering a pay rate of "X" per hour. Key skills include AWS services (S3, Redshift), SQL, stored procedures, and experience in database migration, specifically Oracle to Postgres.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 4, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Nashville, TN
🧠 - Skills detailed
#Lambda (AWS Lambda) #Java #Scala #DMS (Data Migration Service) #SQL (Structured Query Language) #React #DevOps #IAM (Identity and Access Management) #Kafka (Apache Kafka) #Scrum #Python #Data Storage #Data Lake #Data Engineering #Storage #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #Documentation #Integration Testing #"ETL (Extract #Transform #Load)" #Tableau #Database Management #Agile #Oracle #Angular #Programming #Databases #DynamoDB #Data Security #Redshift #AWS DMS (AWS Database Migration Service) #Apache Spark #Compliance #Data Governance #Athena #Containers #CRM (Customer Relationship Management) #Database Migration #Hadoop #Migration #RDS (Amazon Relational Database Service) #Cloud #AWS (Amazon Web Services) #Data Pipeline #Big Data #Security #Looker
Role description

Basic Qualifications

   • 5+ years of AWS experience with some years including team oversight.

   • AWS Serverless, Cloud Security, DevOps, Cloud Migration, Containers

   • Build and manage scalable data storage solutions using AWS services such as S3, Auroa Postgress, Redshift, DynamoDB, or RDS.

   • Optimize data storage and retrieval for performance and cost efficiency.

   • Knowledge of modern database technologies and experience developing database applications on AWS Node JS, Python, Chart JS, Lambda, CloudWatch

   • Integrate data from various sources (e.g., APIs, databases, streaming platforms) into centralized enterprise application, data lakes or warehouses.

   • Ensure data consistency, accuracy, and integrity across systems.

   • Monitor data pipelines and infrastructure for performance, reliability, and scalability.

   • Implement data security best practices, including encryption, IAM policies, and access controls.

   • Proficiency in AWS services like S3, Glue, Redshift, EMR, Lambda, Athena, and Kinesis.

   • Strong programming skills in Python, Java, or Scala.

   • Strong Experience with SQL and database management.

   • Familiarity with big data tools like Apache Spark, Hadoop, or Kafka.

   • Ensure compliance with data governance and regulatory requirements.

   • Troubleshoot and resolve issues in data workflows.

   • Collaborating with team members, Product Managers, subject matter experts, and other teams to refine requirements and translate into functional software using standardized coding techniques and conventions.

   • Strong problem-solving and analytical skills.

   • Excellent communication and teamwork abilities.

   • Knowledgeable about all development life cycle phases and solution delivery for cloud systems with experience in unit, integration testing and strong documentation.

​

Top Skills Details

​

  1. Strong experience working / developing stored procedures

​

  1. Proficiency in AWS services like S3, Glue, Redshift, EMR, Lambda, Athena, and Kinesis.

​

  1. Experience supporting conversion / migration projects (Preferably Oracle -\u003E Postgres OR redshift)

​

Supporting the monolithic tempo Oracle application (copyright & royalty) and moving it into postgres. Will need strong abilities in stored procedures.

​

Additional Skills & Qualifications

   • Experience in transforming database code from one language to another with a emphasis of Oracle to Postgress.

   • Experience with CRM/Finance/Accounting systems a plus.

   • Knowledge of the software development lifecycle and concepts such as Agile, SAFE, scrum, CI/CD, and DevOps.

   • Knowledge of coding best practices such as CI/CD, Cloud Security, DevOps.

   • Knowledge on ETL solutions such as Glue & Lambda functions.

   • Knowledge on dashboards and Dashboard platforms such as AWS QuickSight, Google Looker, Tableau, PowerBI.

   • Knowledge of big data technologies like AWS Redshift, Hive and Spark.

   • Experience with AWS Database Migration Service (DMS)

   • Angular/React Material for front end development and Integration.

   • AWS Certification.

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