AWS Cloud Data Engineer

ALTEN Group; Atlanta (GA); On-site; USD 106,000 - 176,000; Full time

Job summary

A leading IT services and consulting firm is seeking an experienced AWS-Data Engineer in Atlanta, GA. The ideal candidate will have significant experience with data pipelines and cloud technologies. This full-time position involves designing infrastructure for data operations and collaborating with cross-functional teams to meet business needs. A competitive salary range of $106,300.00 to $175,400.00 is offered, reflecting experience and expertise.

Qualifications

• 5+ years of experience in a Data Engineer role in a cloud-native ecosystem.
• Experience in implementing data pipelines for both streaming and batch integrations.
• Working knowledge of both relational and NoSQL databases.

Responsibilities

• Design, build, and operate infrastructure for data extraction and transformation.
• Optimize various RDBMS engines and address customer performance issues.
• Collaborate with internal teams to support data infrastructure and business needs.

Skills

Data pipelines (ELT/ETL)

Data warehousing

SQL

AWS Glue ETL

Python

AWS AI/ML services

Tools

AWS Redshift

AWS Lambda

Sage Maker

Job description

Overview

We are seeking an AWS-Data Engineer with strong experience across the entire Cloud Data stack. The ideal candidate should have extensive experience in data pipelines (ELT/ETL), data warehousing and dimensional modeling, and curation of data sets for Data Scientists and Business Intelligence users. Experience in building Data Lake. This candidate should also have excellent problem-solving ability dealing with large volumes of data and various data sources.

Key Responsibilities

• Design, Build and Operate the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, cloud migration tools, and \'big data\' technologies.
• Optimize various RDBMS engines in the cloud and solve customers security, performance, and operation problems.
• Design, Build, and Operate large, complex data lakes that meet functional / non-functional business requirements.
• Optimize various data types of ingestion, storage, processing, and retrieval from near real-time events, and IoT, to unstructured data as images, audio, video, and documents, and in between.
• Work with customers and internal stakeholders including the Executive, Product, Data, Software Development, and Design teams to assist with data-related technical issues and support their data infrastructure and business needs.
• Understand and Develop AI/ML models using AWS AI/ML services (e.g., Sage Maker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions

Qualifications

• 5+ years of experience in a Data Engineer role in a cloud-native eco-system.
• 5+ years working experience in AWS Glue ETL, Redshift, Step Function, Athena
• Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Spark, Spark Experience in Lake Formation
• Orchestration, Maintain and enhance models for SDLC using CI/CD pipelines in AWS.
• Experience in Relational and NoSQL databases, such as MySQL or Postgres and DynamoDB.
• Functional and scripting languages: Python, Advanced SQL.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Other

Industries

• IT Services and IT Consulting

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Atlanta, GA $106,300.00-$175,400.00

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