Data Engineer - Capgemini

**Data Engineer** **FT Direct hiring with benefits** **Hybrid role** **Role 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 Tuning - Hands on experience on automating Data Quality check for SSAS Cube vs sources - Hands 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 & transforming - Used 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: harneet.sapra@sogeti.com **Thebenefits our employees enjoy:** + Competitive Salary + 401(k) Savings Plan- Matched 150% up to 6%. + Medical, dental and vision benefits + 100% Company-paid mobile phone plan + 3 weeks Personal Time Off (PTO) and 7 Paid Holidays Sogeti 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.