Engineering Analyst
Engineering Analyst
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Job Description
We are looking for an experienced Data Engineer with a strong foundation in Python SQL and Azure and hands-on expertise in Databricks. In this role you will build and maintain scalable data pipelines and architecture to support analytics data science and business intelligence initiatives. Youll work closely with cross-functional teams to drive data reliability quality and performance.
Responsibilities:
- Migrate legacy data infrastructure while ensuring performance security and scalability.
- Build and optimize data systems pipelines and analytical tools leveraging a bronze-silver-gold architecture.
- Develop and configure Databricks notebooks and pipelines for ingestion of data from both on-premise and cloud environments following native Databricks standards.
- Collaborate with stakeholders to translate business needs into robust data solutions and effectively communicate technical progress risks and recommendations.
- Implement strong data governance and access control mechanisms to ensure data quality security and compliance.
- Conduct advanced data analysis to support decision-making and reporting needs.
- Apply QA testing practices within data workflows particularly in healthcare environments.
- Drive initiatives in Data Discovery Data Lineage and Data Quality across the organization.
Qualifications :
- Studies in computer science Engineering or a related field.
- 2 years of hands-on experience in data engineering with at least 2 years working with Azure or Databricks
- English level B2 or more
- Experience working with Azure Cloud CI/CD pipelines and Agile methodologies
- Proficiency in developing and managing Databricks notebooks and implementing data engineering frameworks.
- Strong programming skills in Python for data processing and automation.
- Advanced proficiency in SQL for querying and transforming large datasets.
- Solid understanding of data modelling warehousing and performance optimization techniques.
- Proven experience in data cataloging and inventorying large-scale datasets.
- Pyspark experience would be a plus
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Certifications in AWS (we are AWS Partners) Databricks and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans courses and additional certifications tailored to your role.
Access to Udemy Business offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
Special day rewards to celebrate birthdays work anniversaries and other personal milestones.
Company-provided equipment.
Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location please consult with one of our recruiters.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
