We're looking to add an experienced data engineer to our team who can develop and maintain robust data pipelines using Amazon Web Services (AWS).
If you are meticulous and motivated, and you truly excel at creating secure and efficient data pipelines, find out more about this niche role where you will work with cutting-edge AWS technologies to implement end-to-end data platforms and drive impactful insights.
In this article, we'll list the responsibilities and qualifications of this particular role, and highlighting the unique experience we offer.
Building + Transforming Data Ecosystems at Ilion
As a skilled and experienced Data Engineer, you will be responsible for developing and maintaining data pipelines using AWS, playing a crucial part in ingesting, processing, storing, and modeling data. With your meticulous approach, you will analyze and organize raw data from various sources, combining them to create comprehensive datasets. By leveraging your expertise in data engineering, you will build efficient data pipelines, ensuring the reliability and accuracy of data for informed decision-making.
Driving Business Objectives + Enhancing Data Quality
As an Ilion Data Engineer, your work will extend beyond technical implementations.
You will collaborate closely with data scientists, architects, and stakeholders, evaluating business needs and objectives to deliver data solutions that align with organizational goals. Your commitment to enhancing data quality and reliability will be instrumental in enabling Ilion to extract maximum value from its data resources.
By identifying opportunities for data acquisition and developing analytical tools and programs, you will contribute to the continuous growth and innovation of our company - and our clients'.
Technical Experience + Qualifications
You will need both a strong technical background and hands-on experience with AWS and data engineering.
Specifically, the following qualifications and skills are desired:
2+ years of experience with AWS, demonstrating proficiency in implementing data solutions on the platform.
2+ years of experience in extracting, transforming, and loading (ETL) data processes.
Extensive engineering and development experience, showcasing your ability to build scalable and efficient data pipelines.
Experience in automated testing, ensuring the reliability and accuracy of data pipelines.
Exposure to AWS Glue, a Spark-based serverless ETL engine and service, enabling seamless data transformation and integration.
Familiarity with AWS Code Commit and AWS Code Build, facilitating collaboration and version control.
Knowledge of AWS CloudFormation, enabling infrastructure as code and streamlined deployment.
Experience in the banking and insurance sectors would be advantageous as it provides context and understanding of industry-specific challenges.
To qualify for this role, you should hold a Bachelor's degree or higher in quantitative areas such as Computer Science, Information Management, Big Data & Analytics, or a related field.
Accelerate your career with Ilion
As part of the Ilion team, we provide you with valuable and exciting opportunities for professional growth and advancement. You will work with a dedicated group of professionals who are passionate about data engineering and its potential.
We provide an environment that encourages continuous learning, offering support for obtaining AWS certifications and staying up-to-date with the latest industry trends.
Our commitment to your growth, combined with exposure to challenging projects and collaboration with experienced data scientists and architects, will propel your career forward!