Databricks Data Engineer

Job Role/Title: - Databricks Data Engineer- (8+ Years experience) Contract- Long Term Contract Location: Cincinnati, OH Rate -$50/hr on W2-(Only W2 ) No -C2C Interview Mode -(Candidate should go for F2F interview) NOTE: Need a very strong Azure Databricks ,PySpark, and SQL Job Summary • We are seeking a skilled Databricks Data Engineer to design, build, and optimize data pipelines and analytics solutions on Azure Databricks for enterprise-scale projects • .The role involves working closely with business stakeholders, data scientists, and architects to enable reliable, scalable, and secure data processing for IBM/Kroger initiatives .Key Responsibilitie • sDevelop and maintain ETL/ELT pipelines using Databricks, PySpark, and SQL • .Integrate data from multiple sources (structured, semi-structured, unstructured) into data lakes and warehouses • .Optimize performance of large-scale data processing jobs • .Collaborate with data scientists and analysts to enable advanced analytics and machine learning workloads • .Ensure data quality, governance, and compliance across all pipelines • .Support production environments, troubleshoot issues, and implement fixes • .Document technical designs, workflows, and best practices .Required Skill sStrong hands-on experience with Azure Databricks, PySpark, and SQL • .Knowledge of data lakehouse architecture and Delta Lake • .Experience with Azure ecosystem (Data Lake, Synapse, ADF, Key Vault) • .Proficiency in ETL/ELT design, data Modeling, and performance tuning • .Familiarity with CI/CD pipelines and DevOps practices • .Strong problem-solving and communication skills .