What are the responsibilities and job description for the Data Engineer position at Kompass Kapital Management, LLC?
Job Position: Data Engineer
Job Levels: I, II, III
FLSA Status: Exempt
EEO: Professionals
Job Summary:
We are seeking a meticulous and detail-oriented Data Engineer to join our team. As a Data Engineer, you will play a crucial role in processing monthly data files, utilizing Excel and SQL for validation and testing of data and systems. The ideal candidate will have a strong background in data manipulation, SQL querying, and a knack for ensuring data accuracy and reliability.
Duties/Responsibilities:
Job descriptions prepared by the Company serve as an outline only. Job duties and responsibilities will be established and communicated regularly as part of the Company's EOS cadence. Responsibilities and qualifications may differ here depending upon experience and manager/non-manager levels. Due to business needs, you may be required to perform job duties that are not within your written job description. Furthermore, the Company may have to revise, add to, or delete from your job duties per business needs with or without advanced notice to employees.
Job Levels: I, II, III
FLSA Status: Exempt
EEO: Professionals
Job Summary:
We are seeking a meticulous and detail-oriented Data Engineer to join our team. As a Data Engineer, you will play a crucial role in processing monthly data files, utilizing Excel and SQL for validation and testing of data and systems. The ideal candidate will have a strong background in data manipulation, SQL querying, and a knack for ensuring data accuracy and reliability.
Duties/Responsibilities:
- Process and analyze monthly data files using Excel for initial data assessment and preprocessing.
- Develop SQL queries to validate, test, and analyze data across various systems and databases.
- Work with cross-functional teams to understand data requirements and ensure data quality standards are met.
- Design and implement data validation routines to identify discrepancies and anomalies in datasets.
- Optimize data processing pipelines for efficiency and scalability.
- Troubleshoot data-related issues and provide timely resolutions.
- Document data workflows, processes, and validation procedures for future reference.
- Proven experience as a Data Engineer or similar role, handling large datasets and performing data manipulation tasks.
- Strong SQL skills with experience in writing complex queries for data validation and testing.
- Familiarity with data warehousing concepts and ETL processes.
- Experience with scripting languages (e.g., Python, R) for data manipulation is a plus.
- Ability to work independently and collaboratively in a team environment.
- Excellent analytical and problem-solving skills.
- Strong communication skills to interact with technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field.
- At least three years of related data experience
- Able to sit and work on a computer for long periods of time
- Able to lift up to 15 lbs at a time
- Competitive salary and benefits package including 401k.
- Opportunities for professional development and career growth.
- Supportive and collaborative work environment.
- Entertainment perks
Job descriptions prepared by the Company serve as an outline only. Job duties and responsibilities will be established and communicated regularly as part of the Company's EOS cadence. Responsibilities and qualifications may differ here depending upon experience and manager/non-manager levels. Due to business needs, you may be required to perform job duties that are not within your written job description. Furthermore, the Company may have to revise, add to, or delete from your job duties per business needs with or without advanced notice to employees.