June 15, 2023
Airflow
AWS
Big Data
CI/CD
Cloud
Deep Learning
ETL
GCP
Google Cloud Platform
Hadoop
Kafka
Kubernetes
Machine Learning
NoSQL
Numpy
Pandas
Python
Scikit-Learn
Spark
SQL
• Develop proof of concepts, build and operate data and Machine Learning pipelines and Data Warehouses/Lakes • Build ETL processes for a wide variety of data sources (relational database, NoSQL, web services, flat files, etc) as per projects’ needs • Own problems, from beginning to end - propose, define, present, evangelize, prototype, build, handle and maintain data systems • Design modern data pipelines and data architectures • Research and develop new technologies to improve Mutt Data’s toolset, as well as best practices. We invite you to contribute your knowledge on infrastructure, code, frameworks, etc • Collaborate with Interview instances for Tech People (Exam Review and Technical Interview)
• Software engineering and development experience (at least 2 + year) • Advanced Python knowledge • Rock-solid knowledge of databases and SQL. • Ability to interpret and implement customer’s technical requirements • Experience building analytical data systems over Modern Data Warehouses (BigQuery, Redshift, Snowflake, etc.) or Data Lakes (Databricks, AWS S3, Presto, EMR, Glue, etc.) • Experience working with batch ETL or stream processing systems or frameworks • Great capacity for teamwork • Good management of AWS (or GCP) services • Have a keen sense of code hygiene: review, documentation, testing, CI/CD • Proficiency with modern Data Engineering tools • Development of data pipelining with Spark, Python, and SQL • Installation and management of platforms Hadoop Cloud or On-Premise • Proficiency in the DAG stack: DBT + Airflow + Great Expectations • Experience with any stream processing tool (Kafka Streams, Kinesis, or Spark) • Proficiency in Python’s Scientific Stack (numpy, pandas, jupyter, matplotlib, scikit-learn)
• Gympass: access to thousands of fitness + mindfulness + wellbeing studios and apps. • Additional Internet Connectivity stipend. • Welcome Kit - Mutt provides working equipment if needed (laptop, work chair, headset, external monitor, etc.) • Pedidos Ya Pay • Social Paid Events • Worknmates Coworking spaces • Up to 20% of the salary paid in USD (Tied to BCRA directives) • Mutt week! An additional week of vacation per year. • Paid AWS and GCP certification exams and materials. • Birthday free day! • In-company English lessons. • Referral Bonuses. • Remote First Culture: flexible working time + flexible working location. • Annual Mutters' Day. • Annual Mutters' Trip.
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