Data Engineer

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job LocationJob is located in Missisauga, CA
- Onsite HybridYour RoleResponsibilities:Monitor and control all phases of development process and analysis design construction testing and implementation as well as provide user and operational support on applications to business usersUtilize in-depth specialty knowledge of applications development to analyze complex problems issues provide evaluation of business process system process and industry standards and make evaluative judgementRecommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionalityConsult with users clients and other technology groups on issues recommend advanced programming solutions and install and assist customer exposure systemsEnsure essential procedures are followed and help define operating standards and processesServe as advisor or coach to new or lower level analystsHas the ability to operate with a limited level of direct supervisionCan exercise independence of judgement and autonomyActs as SME to senior stakeholders and or other team membersJob Role:This

job description
provides a high-level review of the types of work performed Other job-related duties may be assigned as requiredIn-depth understanding of HDFS architecture data storage and fault tolerance mechanismsExperience with HDFS commands and administrationSolid understanding of YARN resource management and job schedulingFundamental understanding of MapReduce programming paradigm even if primary development is in Spark Flink Knowledge of Zookeeper for distributed coordination servicesStrong proficiency in Spark Core Spark SQL Spark Streaming and Spark Graph XbeneficialExpert level programming skills in Python and Pyspark specifically for developing Spark applicationsExperience with Spark performance optimization techniques eg caching partitioning shuffle optimizations memory managementExperience with PySpark for data processingFamiliarity with data manipulation libraries Pandas NumPy Scripting for automation and data orchestrationComplex query writing subqueries window functions and performance tuning HBase for real-time access to large datasets within Hadoop Cassandra MongoDB or similar Familiarity with RDBMS concepts and SQL for data integrationUnderstanding of dimensional modeling fact and dimension tables star snowflake schemas'QualificationsBachelors degree University degree or equivalent experience5-8 years of relevant experienceExperience in systems analysis and programming of software applicationsExperience in managing and implementing successful projectsWorking knowledge of consulting project management techniques methodsAbility to work under pressure and manage deadlines or unexpected changes in expectations or requirementsThe base compensation range for this role in the posted location is: 72000
- 80000Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.
S. and Canada, available benefits are determined by local policy and eligibility and may include:Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.
S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibili