MID-LEVEL DATA ENGINEER in InStandart

Пряме повідомлення учасника, який розмістив вакансію, з InStandart Halyna Sheverdieieva Looking for Midlevel Data Engineers 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 OverviewAs 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 dataYou are eager to learn and work with new data domains, particularly in healthcareYou have an enthusiastic, energetic personality with an inquiring, investigative mindYou embrace change as an opportunity to learnYou take great care in the detailsThe RoleThe 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 consistencyDeveloping and implementing complex data rules and methodologiesUtilizing SQL, Spark, and Python to write and optimize queries and scripts for data processing and validationLeveraging AWS services to manage and process large datasets efficientlyCollaborating with data engineering and quality assurance teams to enhance and test data systemsBuilding comprehensive reports to track data quality and project statusWhat we are looking for:We are always looking for new team members who will add to our culture and have a strong passion for impact. In particular, the Mid-level Reference Data Engineer will have:3+ years of hands-on experience in technical data engineering or a similar roleProficient in SQL, Spark, and Python, capable of writing complex queries and scriptsFamiliarity with AWS services and extensive use of data management systems, specifically SQL databasesPractical knowledge implementing complex data rules and methodologiesStrong analytical and problem-solving skills to effectively identify and resolve data discrepancies and issuesProficiency in version control and collaboration tools like Git and workflow management tools such as JIRAA 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 workingenvironment; Flexible schedule and remote work; Paid vacation (20 working days). Show more Show less Type of employment Full-time