Senior Data Engineer in Dataforest

Looking for a Senior Data Engineer to join the Dataforest team. If you are looking for a friendly team, a healthy working environment, and a flexible schedule ‒ you have found the right place to send your CV.Skills requirements:• 4+ years of experience with Python;• 3+ years of experience as a Data Engineer;• Knowledge of data algorithms and data structures is a MUST;• Excellent experience with Pandas;• Excellent experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;• Experience Apache Kafka, Apache Spark (pyspark);• Experience with Hadoop;• Familiarity with Amazon Web Services;• Understanding of cluster computing fundamentals;• Working with high volume tables 100m+.Optional skills (as a plus):• Experience with scheduling and monitoring (Databricks, Prometheus, Grafana); • Experience with Airflow; • Experience with Snowflake, Terraform; • Experience in statistics;• Knowledge of DS and Machine learning algorithms.Key responsibilities:• Create ETL pipelines and data management solutions (API, Integration logic);• Elaborate different data processing algorithms;• Involvement in creation of forecasting, recommendation, and classification models;• Develop and implement workflows for receiving and transforming new data sources to be used in the company;• Develop existing Data Engineering infrastructure to make it scalable and prepare it for anticipated projected future volumes;• Identify, design and implement process improvements (i.e. automation of manual processes, infrastructure redesign, etc.).We offer:• Great networking opportunities with international clients, challenging tasks;• Building interesting projects from scratch using new technologies;• Personal and professional development opportunities;• Competitive salary fixed in USD;• Paid vacation and sick leaves, medical insurance;• Flexible work schedule;• Friendly working environment with minimal hierarchy;• Team building activities, corporate events.