Senior AWS Data Engineer

🕒 March 31

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Mactores

Mactores

51 - 200 employees

Founded 2008

🏢 Enterprise

Enterprise • Data

Mactores is a company that provides end-to-end data platform solutions aimed at accelerating business value through automation. Since 2008, Mactores has been helping businesses with digital transformation, offering services like Enterprise Data Lakes, Scalable Databases, Modern Data Warehouses, Automated DataOps, MLOps, and Generative AI solutions. They focus on enabling faster and cost-effective migrations and modernizations in data analytics, partnering with leading platforms to drive innovation and success. Mactores works alongside tech teams to strategize and implement the right data solutions timely and efficiently.

📋 Description

• Develop and maintain data pipelines using Amazon EMR or Amazon Glue. • Create data models and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. • Build and maintain the orchestration of data pipelines using Airflow. • Collaborate with other teams to understand their data needs and help design solutions. • Troubleshoot and optimize data pipelines and data models. • Write and maintain PySpark and SQL scripts to extract, transform, and load data. • Document and communicate technical solutions to both technical and non-technical audiences. • Stay up-to-date with new AWS data technologies and evaluate their impact on our existing systems.

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field. • 3+ years of experience working with PySpark and SQL. • 2+ years of experience building and maintaining data pipelines using Amazon EMR or Amazon Glue. • 2+ years of experience with data modeling and end-user querying using Amazon Redshift or Snowflake, Amazon Athena, and Presto. • 1+ years of experience building and maintaining the orchestration of data pipelines using Airflow. • Strong problem-solving and troubleshooting skills. • Excellent communication and collaboration skills. • Ability to work independently and within a team environment.

🏖️ Benefits

• Equal opportunities in all employment practices • No discrimination policy

Apply Now

Similar Jobs

🕒 March 31

Data Engineer designing and implementing data architecture for precision oncology. Collaborating with various teams to manage diverse biological data pipelines in an early-stage startup environment.

AWS

ETL

Linux

Postgres

Python

🕒 March 31

Aledade, Inc.

501 - 1000

⚕️ Healthcare Insurance

🏢 Enterprise

Senior Technical Product Manager focused on designing scalable solutions for healthcare technology at Aledade. Collaborating with business and technical teams to enhance clinical data integration and insights.

🕒 March 31

Damco Solutions

1001 - 5000

🤖 Artificial Intelligence

🛍️ eCommerce

💳 Fintech

Data Architect Lead developing data architecture solutions for investment management. Collaborating with development teams to implement global investment data platforms.

🕒 March 31

Anagenex

11 - 50

🤖 Artificial Intelligence

🧬 Biotechnology

💊 Pharmaceuticals

Data Engineer managing data pipelines for Angenex's machine learning platform, optimizing data flow for cross-functional teams.

Airflow

Amazon Redshift

AWS

BigQuery

Docker

EC2

ETL

MongoDB

MySQL

NoSQL

Oracle

Postgres

Python

RDBMS

SQL

🕒 March 31

Veeva Systems

1001 - 5000

☁️ SaaS

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Migration Consultant in Veeva Systems leading data migration implementations for life sciences companies. Delivering expertise on Vault R&D applications and ensuring customer success.

ETL

Oracle

SFDC

SQL

Vault