SysMind Tech
Data Engineer (Multiple Location All accros USA - Hybrid)
SysMind Tech, Pittsburgh, Pennsylvania, us, 15289
Please share me your resume @ monikac@sysmind.com
Job Description:
7+ plus years of experience in solutioning data pipeline for large enterprise data Warehouse applications using Azure Data Factory, Data bricks, Data Ingestion, Data Transformation /Computation, Orcpersonstration, Reporting & Data AnalyticsKnowledge of Azure Services such as ADF, Databricks, Event Hub, Delta Lake, Data LakeStrong command on Python, Pyspark , SQL & Power BIExperience in GitHub , Git Action , Jira end to end data pipeline.Strong knowledge in CICD Pipeline for automatic deploymentsExperience in Terraform for Infrastructure ProvisioningStrong knowledge on design and integration patternsProficient in technical artifacts e.g., Application Architecture, Solution Design Documents, etcStrong at analytical and problem-solving skillsExperience working with multi-vendor, multi-culture, distributed offshore and onshore development teams in dynamic and complex environment.Experience in Retail is desired, not mandatory.Must have excellent written and verbal communication skills
Job Description:
7+ plus years of experience in solutioning data pipeline for large enterprise data Warehouse applications using Azure Data Factory, Data bricks, Data Ingestion, Data Transformation /Computation, Orcpersonstration, Reporting & Data AnalyticsKnowledge of Azure Services such as ADF, Databricks, Event Hub, Delta Lake, Data LakeStrong command on Python, Pyspark , SQL & Power BIExperience in GitHub , Git Action , Jira end to end data pipeline.Strong knowledge in CICD Pipeline for automatic deploymentsExperience in Terraform for Infrastructure ProvisioningStrong knowledge on design and integration patternsProficient in technical artifacts e.g., Application Architecture, Solution Design Documents, etcStrong at analytical and problem-solving skillsExperience working with multi-vendor, multi-culture, distributed offshore and onshore development teams in dynamic and complex environment.Experience in Retail is desired, not mandatory.Must have excellent written and verbal communication skills