In this role, you will:

📍Conceptualize and generate infrastructure that allows big data to be accessed and analyzed 📍Design, develop and maintain data pipelines (external data source ingestion jobs, ETL/ELT jobs, etc) 📍Continuously seek ways to optimize existing data processing to be cost and time efficient 📍Ensure good data governance and quality through build monitoring systems to monitor data quality in data warehouse 📍Liaise with coworkers and specific stakeholders to elucidate the requirements for each task 📍Keep up-to-date with blockchain standards and technological advancements that will improve the quality of your outputs

Requirements:

📍Fluent in Python and advanced-SQL 📍At least 2+ years of relevant experience as a data engineer 📍Fluently working in data warehouse environments (eg: Google BigQuery, AWS Redshift, Snowflake) 📍Familiar with data transformation or processing framework (eg: dbt, spark, Hive, etc) 📍Familiar with data processing technology (Google Cloud Function, Google Dataflow, Google Dataproc, etc) 📍Fluently working with a data orchestration tool (eg: Airflow, Prefect, Dagster etc) 📍Familiar with data storage (eg: Google Cloud Storage, AWS S3) 📍Understand cloud data warehousing concept and experience in data modeling and measure + improve data quality 📍Preferably understand basic containerization and microservice concept (eg: Docker, Kubernetes) 📍Able to build and maintain good relationship with stakeholders 📍Able to translate business requirements to data warehouse modeling specifications 📍Able to demonstrate creative problem solving skill 📍A team player who loves to collaborate with others and can work independently when needed