Job Title: Cloud Data Engineer - Remote Opportunity

Job Overview

We are in search of a seasoned and driven Cloud Data Engineer, proficient in cloud-centric big data storage, processing, and analytics, to enhance our dynamic team. This role presents an exceptional opportunity to engage with state-of-the-art technologies and significantly contribute to the evolution and refinement of cloud-based data solutions.

Key Responsibilities

Design, develop, and optimize cloud data solutions utilizing big data storage tools, processing frameworks, and ETL/ELT methodologies such as S3, AWS Glue, and Apache Spark.
Create and implement data models at both conceptual and logical levels, transforming them into effective physical data structures like Star and Snowflake schemas.
Employ robust expertise in Amazon Redshift, AWS Glue, and other AWS data tools to facilitate data-driven applications.
Manage data integration with SQL and NoSQL structures, ensuring seamless data ingestion and processing.
Collaborate within an agile development environment, participating in all software development life cycle phases including planning, design, and feature implementation.
Analyze business needs, assess potential design alternatives, and propose scalable solutions tailored for the AWS landscape.
Develop, deploy, and maintain cloud applications, emphasizing performance, scalability, and adherence to industry best practices within AWS.
Coordinate effectively with on-site teams, managing expectations and ensuring timely project delivery through clear communication.
Implement agile methodologies to uphold quality standards and ensure timely project completion.

Required Skills

A minimum of 5 years’ experience with cloud-based big data technologies, including S3, AWS Glue, and Apache Spark, among other AWS services for data management and processing.
At least 3 years’ experience with SQL and NoSQL data structures, including data processing and integration capabilities.
3+ years of experience in software development within an agile team context, involving coding, testing, and deploying cloud-based applications.
Strong proficiency with Amazon Redshift, AWS Glue, and additional AWS data-related tools, coupled with a comprehensive understanding of AWS architecture.
Experience in Oracle databases and PL/SQL for data manipulation and optimization.
Prior work with ETL tools, specifically Informatica, and integrating data from various sources into AWS-based solutions.
Familiarity with Agile methodologies, inclusive of iterative development and sprint planning.
Excellent verbal and written communication skills, enabling effective collaboration with cross-functional teams.

Qualifications

An undergraduate degree or an equivalent combination of education and work experience is required.
5+ years of expertise in cloud development and migration, particularly with a focus on AWS analytics, data warehousing, and Redshift.
At least 1 year of experience with Oracle and PL/SQL.
Minimum 1 year of experience using data integration tools, especially Informatica.

Career Growth Opportunities

We are dedicated to fostering the continuous professional development of our team members, providing avenues to explore the latest technologies and best practices in the realm of cloud data engineering.

Company Culture And Values

Our organization champions a collaborative and innovative work environment that values the input of every team member, promoting a culture where contributions are recognized and rewarded. Join us in cultivating a diverse and inclusive workplace that aligns with our mission and vision.

Employment Type: Full-Time

Get It - Finance

New Jobs

Remote Cloud Engineer / AWS - Work from Home