ARM5™ Formula Co.
ARM5™ Formula Co. is a global consulting and technology services firm dedicated to helping leading brands and Fortune 100 companies modernize their technology solutions. They specialize in enterprise consulting, product delivery of end-to-end software solutions, and managed capacity to scale and manage teams and technologies, aiming to transform business processes and culture effectively.
Marketing Strategy • Internet Marketing • Infusionsoft • Online Business • Active Campaign
Data Platform Engineer
February 27
Airflow
Amazon Redshift
AWS
Cloud
ETL
Google Cloud Platform
Java
Kafka
Kubernetes
Linux
MySQL
Pandas
Postgres
Python
PyTorch
Rust
Scikit-Learn
Spark
SQL
Go
ARM5™ Formula Co.
ARM5™ Formula Co. is a global consulting and technology services firm dedicated to helping leading brands and Fortune 100 companies modernize their technology solutions. They specialize in enterprise consulting, product delivery of end-to-end software solutions, and managed capacity to scale and manage teams and technologies, aiming to transform business processes and culture effectively.
Marketing Strategy • Internet Marketing • Infusionsoft • Online Business • Active Campaign
📋 Description
• Formula.Monks, part of Media.Monks and S4 Capital, is a global consulting firm mastering AI-powered transformations for the Fortune 100. • We combine long-term strategic thinking, deep enterprise experience, and a human-centered approach to help clients transform business processes and dominate their industries. • As a Data Platform Engineer, you’ll build cutting-edge data platforms that ingest, manage, and process data from various businesses. • This role supports a wide range of use cases, including customer-facing APIs and large-scale machine learning models.
🎯 Requirements
• 3+ years of relevant experience in a Data Platform Engineering role • Strong software engineering skills with Python; additional experience in C++, Java, Go, or Rust is a plus • Proven expertise in building ETL and stream processing tools with technologies like Kafka, Spark, Flink, or Airflow/Prefect • Proficient in SQL and databases/engines such as MySQL, PostgreSQL, Snowflake, Redshift, or Presto • Familiarity with data science tools (e.g., Jupyter, Pandas, Scikit-learn, PyTorch) and frameworks like MLFlow or Kubeflow • Hands-on experience with AWS/GCP services, Kubernetes, and Linux in production environments • Strong inclination toward automation and DevOps practices • Capable of managing increasing data volume, velocity, and variety • Agile, self-starter mindset with strong communication skills • Ability to navigate ambiguity and prioritize tasks effectively • Participation in on-call support beyond standard business hours • Strong english Skills (B2)
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