Azure Data Engineer (Python, Pyspark , SQL & Power BI)

Role: Data Engineer Location: Cincinnati, OH Fulltime Role with TCS 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, Orchestration, Reporting & Data Analytics Knowledge of Azure Services such as ADF, Databricks, Event Hub, Delta Lake, Data Lake Strong command on Python, Pyspark , SQL & Power BI Experience in GitHub , Git Action , Jira end to end data pipeline. Strong knowledge in CICD Pipeline for automatic deployments Experience in Terraform for Infrastructure Provisioning Strong knowledge on design and integration patterns Proficient in technical artifacts e.g., Application Architecture, Solution Design Documents, etc. Strong at analytical and problem-solving skills Experience 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 Type: Full-time Pay: $106,038.75 - $120,702.58 per year Benefits: 401(k) Dental insurance Health insurance Compensation Package: Yearly pay Schedule: 8 hour shift Ability to Relocate: Cincinnati, OH: Relocate before starting work (Required) Work Location: In person