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AWS Data Engineer

Plano, TX, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

12 Months

75% Travel Required

On-site

Depends on Experience

Microgreen Technologies LLC

Fitment

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Job Details

Skills

Big Data
Bitbucket
Apache Spark
Apache HTTP Server
Python
PostgreSQL
PySpark
Google Cloud Platform
Scratch
Java
Unity
Data Integration
Data Engineering
Continuous Integration
Artificial Intelligence
BMC Control-M
Amazon Redshift
Amazon EC2
Amazon S3
Amazon DynamoDB
API
Data Processing
Electronic Health Record (EHR)
Terraform
Scala
Splunk
Jenkins
Google Cloud
Data Lake
Databricks

Summary

Job Title: AWS Data Engineer

Location: Plano, TX (Onsite)

Job Summary

We are seeking a hands-on AWS Data Engineer with strong experience in AWS data services, Python development, and end-to-end data pipeline development. The ideal candidate should have experience building production-grade data pipelines from scratch, working with AWS data lakes, databases, and CI/CD deployments.

Must-Have Technical Skills

AWS Data Services: Strong hands-on experience with S3, Glue, Lambda, Step Functions, and Lake Formation.
Python: Strong Python programming, scripting, API development, and Boto3.
Data Engineering: Experience designing and developing end-to-end data pipelines, including data ingestion, transformation, and integration.
Databases: Strong knowledge of PostgreSQL and DynamoDB.
Big Data: Hands-on experience with Apache Spark and PySpark.
AWS Data Lake: Experience developing and managing AWS-based data lake solutions.
CI/CD & DevOps: Experience with Jenkins, Bitbucket/Git, Terraform, and automated deployments.
Monitoring: Experience with AWS CloudWatch and Splunk.
Additional Tools: Familiarity with ServiceNow and enterprise deployment processes.
AI Exposure: Basic understanding of Copilot, Claude, AI agents, and agentic workflows.

Good-to-Have Skills

Snowflake, including Horizon Catalog.
Databricks and Unity Catalog.
Apache Iceberg.
AWS Athena, Redshift, EMR, and S3 Select.
AWS EC2 and Control-M scheduling.
AWS Bedrock and AI application integrations.
Exposure to Google Cloud or Microsoft Azure.
Java/Scala programming knowledge.

Key Responsibilities

Design, develop, and maintain scalable AWS-based data pipelines.
Build data ingestion and transformation workflows using AWS Glue, Lambda, and Step Functions.
Develop Python scripts, APIs, and automation using Boto3.
Implement and manage AWS data lake solutions using S3 and Lake Formation.
Work with PostgreSQL, DynamoDB, Spark, and PySpark for data processing.
Implement CI/CD pipelines and automate deployments using Jenkins, Bitbucket, and Terraform.
Monitor data pipelines and troubleshoot issues using CloudWatch and Splunk.
Collaborate with cross-functional teams to deliver reliable data integration solutions.

Ideal Candidate Profile

Strong hands-on AWS Data Engineering and Python development experience.
Proven ability to build data pipelines from scratch.
Strong understanding of AWS data lake architecture and database technologies.
Developers preferred over candidates focused primarily on support, maintenance, or architecture.
Ability to work independently in a production environment.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91109870
Position Id: 9137276
Posted 6 hours ago

Company Info

About Microgreen Technologies LLC

A great team is the sum of its people. We are looking for those who want to make a difference with their talents and are looking to grow and learn EVERY.SINGLE.DAY.

Do you consider yourself an innovator? Do you measure each day by what you have accomplished? Read more.

From our business analysts who help identify the next opportunity to partner and addess a healthcare problem to our data visualization and AI/ML engineers who are adept with the latest technologies to our client support specialists who make sure that we are meeting and exceeding expectations, each team member is vital and we want to grow together. Collaboration, respect, and great work-life balance are key in our work culture.

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Irfan Md

Talent Acquisition Speacialist @ Microgreen Technologies LLC

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