Sr. Data Engineer

Requirements: 5+ years of data engineering experience in software engineering in the data space.Strong software algorithmic problem-solving expertise.Strong fundamental Scala and Python software programming skills.Good understanding of AWS or other cloud provider resources (S3).Strong SQL skills and ability to creatively problem-solve and dive deep into our data and software ecosystem.Hands-on production environment experience with distributed processing systems such as Apache Spark.Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines.Scripting language experience (Bash, PowerShell).Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go, SQL, Python, Scala, and other computer software languages.Willingness and ability to learn and pick up new skillsets.Self-starting problem solver with an eye for detail and excellent analytical and communication skills.Bachelor's degree in Computer Science, Information Systems, Software, Electrical, or Electronics Engineering or a comparable field of study and/or equivalent work experience. Preferred Qualifications: Master's Degree in Computer Science or Information Systems preferred.Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, or BigQuery).Experience in developing APIs with GraphQL.Deep Understanding of AWS or other cloud providers as well as infrastructure as code.Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.Familiar with Scrum and Agile methodologies.Familiarity with privacy regulations and/or data subject rights. Requirements: 5+ years of data engineering experience in software engineering in the data space.Strong software algorithmic problem-solving expertise.Strong fundamental Scala and Python software programming skills.Good understanding of AWS or other cloud provider resources (S3).Strong SQL skills and ability to creatively problem-solve and dive deep into our data and software ecosystem.Hands-on production environment experience with distributed processing systems such as Apache Spark.Hands-on production experience with workflow orchestration systems such as Airflow for creating and maintaining data pipelines.Scripting language experience (Bash, PowerShell).Technologies such as OneTrust, Databricks, Jupyter, Snowflake, Redshift, Airflow, DynamoDB, Redis, Kubernetes, Kinesis, REST APIs, Terraform, Go, SQL, Python, Scala, and other computer software languages.Willingness and ability to learn and pick up new skillsets.Self-starting problem solver with an eye for detail and excellent analytical and communication skills.Bachelor's degree in Computer Science, Information Systems, Software, Electrical, or Electronics Engineering or a comparable field of study and/or equivalent work experience. Preferred Qualifications: Master's Degree in Computer Science or Information Systems preferred.Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, or BigQuery).Experience in developing APIs with GraphQL.Deep Understanding of AWS or other cloud providers as well as infrastructure as code.Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices.Familiar with Scrum and Agile methodologies.Familiarity with privacy regulations and/or data subject rights.