Senior IT Data Engineer

Encontrado en: Talent CO C2 - hace 2 semanas

Bogotá, Colombia Medtronic A tiempo completo
Careers that Change Lives We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for building cloud-based data platforms and pipelines using Snowflake as the primary data platform, optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of actively participating on projects where our team is re-designing our company’s data architecture, in order to support our next generation of products and data initiatives. A Day in the Life

Responsibilities may include the following and other duties may be assigned.

Build and maintain optimal data pipeline architectures pulling data from multiple data sources/systems, landing it on our Snowflake-based data platform and transforming it for analytics consumption.  Assemble large and complex data sets using data-transformation technologies that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual data processes, optimizing data delivery, and re-designing the data platform for greater scalability. Build data pipelines required for optimal extraction, transformation, and loading of data from multiple sources using a variety of data platforms and data technologies within the company, including but not limited to: Snowflake, Informatica Cloud, DBT, Coalesce, SAP BW, SAP BO, SalesForce.com and S3 buckets. Work with a team of Data Analysts, Data Scientists and Data Architects to execute data analytics projects across multiple regions and businesses. Must Have: Minimum Requirements Bachelor’s degree in computer science, Systems Engineering or related field. 2 years of proven work experience as a Data Engineer (cloud preferred). Fluent in English level. Experience building and optimizing data platforms and pipelines using cloud-based data platforms.  Proven experience building data transformation and data curation processes, including data-quality validation. Advanced knowledge and experience working with SQL-based relational databases, advanced query authoring (SQL) as well as working familiarity with a variety of databases. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analysis skills related to working with structured and unstructured datasets. A successful history of manipulating, processing and extracting value from large disconnected datasets. Good team player with strong organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages for building data transformation and data quality testing: Python, Java, C++, Scala, etc. Excellent communication and collaboration skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Proficiency in at least one programming language (Python preferred) You like to experiment with new technologies and share your knowledge with others in inspiring presentations. You are proactive and keep a constant communication with the team members and the business partners. You have experience with CI/CD tooling: Azure DevOps, Git You have Experience with Test Automation. Nice to Have
Snowflake work experience is a plus. Experience with big data tools like Hadoop, Spark, Kafka is a big plus. Experience in Healthcare or Medical Devices industries is a big plus. Experience using Informatica Cloud and/or Informatica Power Center for building data pipelines is also a plus.

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