Design implement and maintain scalable data pipelines and ETL jobs for processing and transferring large data volumes.
Manage data ingestion from multiple external sources (e.g. pharmacy data) through AWS cloud environments to client on-premise servers.
Collaborate with cross-functional teams to ensure data governance quality and security.
Oversee and mentor a team of Data Engineers ensuring adherence to best practices in development and deployment.
Define architecture using AWS CDK and CloudFormation for infrastructure as code.
Partner with clients to gather requirements assess business goals and deliver tailored data solutions.
Integrate and optimize tools such as Snowflake Databricks and Lake Formation for advanced data processing.
Implement data clean rooms and support privacy-compliant data-sharing solutions.
Monitor data workflows troubleshoot issues and ensure high availability of systems.
Stay current on modern data engineering technologies and recommend improvements.
Qualifications :
Proven experience as a Data Engineer or Data Engineering Manager with a strong background in building and maintaining data pipelines and ETL processes.
Proficiency in Python TypeScript and AWS (including CDK CloudFormation S3 Lambda SQS Athena CloudWatch DeltaLake and Glue).
Solid understanding of data governance data quality and data lifecycle management.
Experience with Snowflake Databricks Lake Formation and Data Lakes is a strong plus.
Hands-on experience designing cloud-based architectures and deploying secure data solutions.
Excellent communication and consulting skills ability to engage directly with clients and translate business requirements into technical solutions.
Experience leading or mentoring technical teams.
Strong analytical and problem-solving mindset.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
How much experience must I have
In order to thrive in this role you must have at least 5 years of experience in similar roles.
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.
Travel opportunities to attend industry conferences and meet clients.
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
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more