Data Engineer

A Data Engineer designs and leads the implementation of data flows to connect operational systems and capture data for analytic and business intelligence systems.RequirementsBachelor of Science Degree in Computer Science, or a Bachelor of Arts Degree in a related technical field5-10 years related work experience in data engineering or similar roleExperience building and optimizing big data pipeline architectures and data setsExperience with object oriented/object function scripting languages such as Scala and/or PythonExperience with public cloud technologies in Google (preferred), AWS and AzureExperience with relational and NoSQL databases such as SQL Server, Postgres, Cassandra, etc.Working knowledge of message queuing, stream processing and highly scalable big data storesExperience with financial/ERP systems such as Oracle Cloud ERPExperience with big data applications such as Hadoop, Spark, Kafka, etc.Familiarity with Agile methodologies and development processesExperience supporting and working with cross-functional teams in a dynamic environmentExperience with data pipeline and workflow management tools such as AirflowBenefitsMedical, Dental, and Vision insuranceBasic and Supplemental Life Insurance options401(k) retirement plans with company matchHealth Spending Accounts (HSA/FSA)Flexible time off and 11 paid holidaysFamily-building benefits, including Maternity, Adoption, and Parental LeaveTuition Reimbursement and certification support, reflecting our commitment to lifelong learningWellness and Mental Health counseling servicesConcierge and work/life support resourcesAdoption Assistance ReimbursementPerks and discount programsOriginally posted on Himalayas

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