Engineering Lead Analyst
Engineering Lead Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
As a Lead Data Engineer your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products!
You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge!
Responsibilities
- Lead and 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 :
- Bachelors degree in computer science Engineering or a related field.
- 5 years of hands-on experience in data engineering with at least 2 years working with Azure or Databricks
- 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
Strong ability to work independently and a desire to lead and mentor junior Data Engineers.
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
