Job Description

Responsibilities:
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 users
Utilize 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 judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision.
Can exercise independence of judgement and autonomy.
Acts as SME to senior stakeholders and /or other team members.
Qualifications:

5-8 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Education:

Bachelor's degree/University degree or equivalent experience
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

In-depth understanding of HDFS architecture, data storage, and fault tolerance mechanisms. Experience with HDFS commands and administration.

Solid understanding of YARN resource management and job scheduling.

Fundamental understanding of MapReduce programming paradigm, even if primary development is in Spark/Flink. Knowledge of Zookeeper for distributed coordination services.

Strong proficiency in Spark Core, Spark SQL, Spark Streaming, and Spark GraphX (beneficial). Expert-level programming skills in Python and Pyspark, specifically for developing Spark applications.

Experience with Spark performance optimization techniques (e.g., caching, partitioning, shuffle optimizations, memory management).

Experience with PySpark for data processing. Familiarity with data manipulation libraries (Pandas, NumPy). Scripting for automation and data orchestration.

Complex 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 integration.

Understanding of dimensional modeling, fact and dimension tables, star/snowflake schemas.'

The base compensation range for this role in the posted location is: 80,000 - 90,000

Capgemini 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 Leave

• Medical, 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 insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.