Data Engineer
Seattle, Washington
Employer: Sogeti
Industry:
Salary: Competitive
Job type: Full-Time
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
The benefits our employees enjoy:
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
The benefits 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
Created: 2024-05-07
Reference: 14453
Country: United States
State: Washington
City: Seattle
ZIP: 98109
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