Data Engineer

TASKS

• Design and build data and model pipelines in Google Cloud Platform, AWS or similar.
• Manage and automate ETL, ML model pipelines and cloud deployment implementations.
• Design and implement Data Warehousing solutions with their corresponding Data Governance processes.
• Design, implement, test CI/CD pipelines for the various data products to be productised.
• Design for data security and compliance.
• Manage, provision and orchestrate necessary cloud solution infrastructure.
• Be in charge of the MLOps lifecycle: research, design, experimentation, development, deployment, monitoring, and maintenance.
• Liaise with stakeholders to analyze business problems, clarify requirements and define the scope of the resolution needed.

REQUIREMENTS

• 5+ years experience using SQL and BigQuery or a SQL-based tool.
• Demonstrable deep knowledge and experience in cloud migration, cloud architecture, and data engineering.
• Production-level Python, SQL & NoSQL, CloudOps (GCP, AWS or Azure ecosystems), Git, CI/CD (Github Actions or CircleCI), MLflow.
• 2+ years of hands-on experience with cloud orchestration tooling, infrastructure-as-a-code (Terraform, CloudFormation or similar).
• 2+ years of hands-on experience building scalable ETL pipelines (Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub).
• Broad knowledge of one of the major cloud vendors.
• Strong problem-solving or analytics experience.
• Willingness to both teach others and learn new techniques.
• Advanced English communication skills.

About your experience

• A set of certifications in GCP: Cloud Architect, Data Engineer, Cloud Engineer, ML Engineer (or similar in another cloud vendor).
• Hands-on experience in MLOps, ML model deployment, governance, and workflow optimization.
• Hands-on experience in one or various: LightGBM/XGBoost/Sklearn, Numpy/SciPy, Keras/PyTorch/Tabnet, Rust/C++, TensorFlow/Caffe/MXNet, CUDA/Ray, Node.js, REST/GraphQL, Neo4J, Grafana/Datadog, Kafka/Spark/Presto.
• Knowledge of/exposure to Google Analytics.
• Knowledge of/exposure to Adobe Marketing Cloud or Adobe Analytics.

BENEFITS

• Great compensation and bonuses including stock options.
• Ground floor opportunity with the team; shape the strategic direction of the company.
• Sharp, motivated co-workers in a fun office environment.
• Full social coverage.

PERKS

• Ground floor opportunity with the team; shape the strategic direction of the company.
• The rare opportunity to change the world around you such that everyone around you is using the product you built. We’re not just another app, we’re infusing social values and reinventing how services are provided.
• Sharp, motivated co-workers in a fun office environment.