Data EngineerFT Direct hiring with benefitsHybrid roleRole and Responsibility:Strong experience in building Azure Data engineering solutions using as Azure Data factory, Databricks, Azure Data Lake and Azure SQL Database.Hands of Experience in SSAS including Designing partitions, relationships, DAX query TuningHands on experience on automating Data Quality check for SSAS Cube vs sourcesHands on Experience on taking care multiple sources which flows in system at different point of time throughout the day.Understanding of Big Data platform like Hadoop , Spark internals.Developed Spark applications using Pyspark and Spark-SQL for data extraction, transformation, and aggregation from multiple file formats for analyzing & transformingUsed Databrick notebooks to analyze and process the data from Data Lake into Azure SQL database based on business requirements.Experience with Spark (Databricks or Synapse) or Modern Data Architectures such as Modern Data Warehouse and Data Mesh.Knowledge of Microsoft Azure cloud or other similar public cloud platforms.Hands-on experience from design through implementation of large-scale distributed data systems, setting examples for good data engineering practices, Continuous Integration/Continuous Deployment (CI/CD) and coding along the way.Possess problem solving, technical, and data analysis skills.Good communication skills and teamwork and comfort with agile software development.Email resume to me at: our employees enjoy:Competitive Salary401(k) Savings Plan- Matched 150% up to 6%.Medical, dental and vision benefits100% Company-paid mobile phone plan3 weeks Personal Time Off (PTO) and 7 Paid HolidaysSogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.