Data Engineer Python/ SQL/ Cloud

Data Engineer5+ years of developing data and software solutions including ETLsMinimum 3+ years of experience in advanced distributed frameworks like Spark/Dask on platforms like EMR, AKS, Kubernetes/DockerMinimum 3+ years of building data pipelines in the cloud, proficient in building incremental and reconciliation components to drive data quality3+ years of experience with public cloud platforms and cloud databases like Snowflake/Redshift/MPP RDBMS.Experience working in DevOps with industry deployment best practices using CI/CD tools and infrastructure as a code (e.g., Docker, Kubernetes)Proficient in data modeling, very good understanding of data management concepts such as 3NF & Dimensional modelingAbility to write complex SQL scripts & utilize Python/Java/Go/C++ based programming language to automate functionalityStrong interpersonal and communication skills, including the ability to explain and discuss machine learning concepts with colleagues and cross functional teamsRequired Skills:5+ year of SQL - advanced5+ years PythonSnowflake or Redshift - any cloud computing is fine but Snowflake would be idealUnix/Linux scripting familiarityBasic knowledge of a data visualization tool (PowerBI/Tableau)Any cloud (GCP/Azure preferred)Modern DevOps