Data Engineer (Python, SQL)

REQUIREMENTS Love of data. You run “SELECT COUNT(SHEEP) FROM BACKYARD” during your sleep! Proficiency with Python or Java, especially for data manipulation and analysis, and ability to build, maintain and deploy sequences of automated processes with these tools. Demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as BigQuery, MySQL, and Cassandra. Understanding data lifecycle concepts and general data manipulation skills: read in data, process and clean it, transform and recode it, merge different datasets together, reformat data between wide and long, etc Perform one-off data manipulation and analysis on a wide variety of political and organizing data.  Experience working with cloud infrastructure services like Google Cloud is preferred. Experience building Data lake and Data warehouse solutions. Demonstrated ability to work independently and be a self-starter.     Demonstrable experience of leading the day-to-day work of a small team Teamwork spirit Priority*: Team management skills ML/AI, MLOps Business domain knowledge: FSI *Job opens for junior level