You work together with Data Scientists and Data Analysts to build scalable and reliable data solutions (including AI). You take the ownership of specific components, make them reliable, scalable and help to design the overall architecture with public cloud services.
You like to continuously grow your skills and support your colleagues in improving theirs and you are willing to write and deliver production level code and will to collaborate with various levels of management and technical staff.
Primary responsibilities
Create and maintain optimal data pipeline architecture (preferably with public clouds such as AWS)
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Sales and Data teams to assist with data-related technical issues and support their data infrastructure needs.
Create data tools for analytics and data scientist team members.
Provide data in a ready-to-use format for data scientists
Continuously discover, evaluate, and implement new technologies to maximize processes efficiency
Identify performance bottlenecks and implement optimizations
Ability to mentor junior and mid level Data engineers
Qualifications
Education: Bachelors in Computer Science and Engineering or related fields. Preferably Master in the previously mentioned fields.
Personality: open-minded, reliable and motivated team player who is keen to learn new technologies and share knowledge while being able to work independently
Experience and Knowledge:4+ years of professional experience in software development, proficiency in some modern programming languages (e.g. Python, Java or Go) and Linux, experience in developing software in AI and/or data centric domains, demonstrated ability to write clean, maintainable and production grade code.
Experience in scaling applications and services to large data volumes, such as firm knowledge of modern Big Data tools/technologies (e.g.Spark, Parquet, Hadoop).
Knowledge of relational databases (e.g. PostgreSQL), and modern, scalable storage technologies (e.g. S3), knowledge of metadata management and schema evolution strategies, knowledge of software engineering best practices (e.g. code reviews, CI/CD, testing) and cloud technologies (preferably AWS)
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with AWS cloud services (e.g.) EC2, EMR, RDS, Redshift
Apply via :
marketforce.breezy.hr
