Remote Data Automation Engineer

Remote Data Automation Engineer requires: Strong experience coding in Python, PySpark, SQL and building automations. Knowledge of Cybersecurity, IT infrastructure and Software concepts. Knowledge of IT Asset Management, ITIL, ITSM practices will be a plus. 3+ years of experience using data warehousing / data lake techniques in cloud environments. 3+ years of developing data visualizations using Tableau, Plotly, Streamlit Experience with ELT/ETL tools like dbt, Airflow, Cribl, Glue, FiveTran, AirByte, etc. Experience on capturing incremental data changes, streaming data ingestion and stream processing. Experience in processes supporting data governance, data structures, metadata management. Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data story-telling Remote Data Automation Engineer duties: Streamline the process of sourcing, organizing data (from a wide variety of data sources using Python, PySpark, SQL, Spark) and accelerating data for analysis. Support the data curation process by feeding the data catalog and knowledge bases. Create data tools for analytics and data scientist team members that assist them in building and optimizing the data products for consumption.