Data Engineer
hace 6 días
About the Role
Optumus MDT is a leading healthcare technology company that specializes in staff augmentation services for medical practices and hospitals. We prioritize our team's growth and development, offering opportunities for professional advancement, education, and skill enhancement. Our company culture values teamwork, guidance, and training for personal and professional growth.
Job Summary
The Data Engineer will work closely with a multi-disciplinary agile team to design and implement high-quality data pipelines that drive analytic solutions. These solutions will generate insights from the organization's connected data, enabling data-driven decision-making capabilities of the enterprise. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytics solutions.
Key Responsibilities
- Design and Develop Data Pipelines
- Collaborate with Cross-Functional Teams
- Implement Data Architecture and Engineering
- Develop and Maintain Scalable Data Solutions
- Ensure Data Quality and Integrity
Requirements
- Intermediate English Speaking/Writing
- Education: Bachelor's or Master's degree in computer science, Information Systems, Engineering, or a related field.
- Certifications: One or both of the following:
- Microsoft Certified: Fabric Analytics Engineer Associate
- Microsoft Certified: Azure Data Engineer Associate
- Experience: Minimum of 3-5 years of experience in data engineering, data architecture, or a related field.
- Technical Skills:
- Proficiency in programming languages such as Python, Java, Scala, PLSQL or SQL.
- Experience with ETL (Extract, Transform, Load) tools and processes (e.g., Apache NiFi, Talend, Informatica).
- Knowledge of data integration techniques and best practices.
- Strong knowledge of relational databases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with data warehousing solutions (e.g., Snowflake, Redshift, Google BigQuery).
- Experience with cloud platforms and services (e.g., AWS, Azure, Google Cloud) and their data-related offerings (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow).
- Experience in building and maintaining scalable data pipelines for batch and real-time data processing.
What We Offer
- Extensive Paid Training
- Competitive Salary
- Company Paid Holidays
Job Type: Full-time, On-Site, Monday to Friday 7am to 4pm
Salary: $35,000 - $45,000 per month before taxes, depending on experience
Work Zone: Colonia De Valle, Mexico City
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