We are seeking a talented Mid-level Reference Data Engineer to join our dynamic team and play a crucial role in a project aimed at cleaning up our reference data. The successful candidate will help ensure the accuracy and reliability of our Reference Data sets. You will be responsible for the quality assurance of data processes, building and maintaining tests, and generating reports to support data validation and enhancements.
Job Overview
As a Mid-level Reference Data Engineer, you will work on cleaning up and maintaining our reference data, implementing complex data rules and methodologies, and collaborating closely with other data teams to ensure the highest levels of data integrity.
Does this sound like you?
• You are passionate about working with data
• You are eager to learn and work with new data domains, particularly in healthcare
• You have an enthusiastic, energetic personality with an inquiring, investigative mind
• You embrace change as an opportunity to learn
• You take great care in the details
The Role
The Mid-level Reference Data Engineer will be responsible for a range of responsibilities, including but not limited to:
- Cleaning up and maintaining reference data to ensure data integrity and consistency
- Developing and implementing complex data rules and methodologies
- Utilizing SQL, Spark, and Python to write and optimize queries and scripts for data processing and validation
- Leveraging AWS services to manage and process large datasets efficiently
- Collaborating with data engineering and quality assurance teams to enhance and test data systems
• Building comprehensive reports to track data quality and project status
What we are looking for:
In particular, the Mid-level Reference Data Engineer will have:
• 3+ years of hands-on experience in technical data engineering or a similar role
• Proficient in SQL, Spark, and Python, capable of writing complex queries and scripts
• Familiarity with AWS services and extensive use of data management systems, specifically SQL databases
• Practical knowledge of implementing complex data rules and methodologies
• Strong analytical and problem-solving skills to effectively identify and resolve data discrepancies and issues
• Proficiency in version control and collaboration tools like Git and workflow management tools such as JIRA
• A bachelor’s degree in computer science, Information Systems, or a related field, complemented by relevant hands-on experience in data engineering roles.
InStandart offers:
Experienced and friendly colleagues who are ready to share knowledge;
Professional and career development;
Comfortable working environment;
Flexible schedule and remote work;
Paid vacation.
We are looking forward to receiving your CV!
Ready to apply?
We will be glad to consider your application!