For the given job description <<Publicis Sapient  Public Sector is looking for a Senior Associate, Data Engineer to be part of our team of top-notch technologists. You will lead and deliver technical solutions for large-scale digital transformation projects. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.Great Place to Work Certified in the US: https:www.greatplacetowork.comcertified-company1000228
Primary Skill: Data Warehouse and ETL
Qualifications:Must-Haves:***Application open to ONLY U.S. Citizens and Permanent Residents******Must be eligible to obtain U.S. Government Clearance (Public Trust)***6+yrs of demonstrable exp in data platforms involving the implementation of end-to-end data pipelinesHands-on exp with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud)Exp in implementing data pipelines for both streaming and batch integrations using tools; Google Cloud Dataflow, Azure Data Factory, ksqlDBExp working with code repositories and continuous integrationExp in data modeling, warehouse design, and factdimension implementationsStrong SQL knowledge to develop efficient and complex queriesExp working with Microsoft SQL ServerExp in data processing, transformation, and manipulation using Python (1+ yr exp)Exp developing, maintaining, and troubleshooting complex ETL processes using Microsoft SSISData ingest, validation, and enrichment pipeline design and implementationBachelor's degree in Computer Science, Engineering, or a related field
Nice to have:Exp in SnowflakesExp in Tableau Power BI, familiarity with ArcGIS would be an assetCertifications for any of the cloud services like AWS, Google Cloud, AzureLogical programming in Spark PySpark  Scala
Benefits of Working Here:Flexible vacation policyUnlimited PTO's15 company paid holidays annuallyWork Your World programGenerous parental leave and new parent transition programTuition reimbursementCorporate gift matching program>> the resume: <<ProfileSeeking a challenging position in your company where my career skills and Abilities can be demonstrated and developed.
Professional Training•Advantage Course (Baker SLS Soft Ware) at Baker Hughes Dubai Training Center.•Equipment Course (Baker Hughes Gas System) at Baker Hughes Dubai Training Center.•Advanced Mud logging Course, Rig components and Hydraulics Calculations at Baker Hughes Egypt.•Basic & Advanced Mud Logging at ECS (Mud Logging Co) Egypt.Advanced level in well setting geology, mud Logging, drilling and Geological Operations, formation evaluation while drilling, pore pressure analysis and management skills.
Professional ExperiencePersonnel supervisor, Pressure engineer, Senior Data Engineer,01/2015-06/2016BakerHughes–City,STATE,At Baker Hughes Kuwait, With Client KOC, land rigs for one and half year as Personnel supervisor, Pressure engineer, Senior Data Engineer.Data Engineer, Well Site Geologist,08/2011-2015Baker Hughes–City,STATE,Data Engineer, Well Site Geologist at Baker Hughes KSA, With Client (KJO) off shore Rigs, Khafji Field for three and half years.Data Engineer, Senior Mud logger,-Baker Hughes–City,STATE,•Data Engineer, Senior Mud logger at Baker Hughes Qatar, off shore Rigs for 6 months.Mud logger,08/2007-07/2011ECS–City,STATE,•Mud logger at ECS (Mud Logging Co) Egypt for four years.
Education and TrainingB .S C:Geology Department,Expected in2007-Faculty of science-Nasr City,CairoGPA:Status-Faculty of science, El-Azhar University (May2007) with general Very good grade.
Skills• Excellent communication skills with strong analytical Skills, Accurate, Sociable, Honest, Tolerant, and hate to waste time, Interested in Customer Service.• Ability to work individually or in active team member, leader ship ability.• Ability to work under pressure, outside normal working hours and deliver Results against deadlines.• Ability to learn any thing new in short time, full motivated, to be the best in my field.>>. The result is, Potential Fit

Fit assessment: Potential Fit