Data Engineer; PySpark

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 bya 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.

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 indepth specialty knowledge of applications development to analyze complex problemsissues 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.

58 years of relevant experience.

Experience in systems analysis and programming of software applications.

Experience in managing and implementing successful projects.

Working knowledge of consultingproject management techniquesmethods.

Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.

Education.

Bachelors degree

University degree or equivalent experience.

This job description provides a highlevel review of the types of work performed Other job related duties may be assigned as required.

Indepth 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 Map Reduce programming paradigm even if primary development is in Spark Flink Knowledge  of Zookeeper for distributed coordination services.

Strongproficiencyin Spark Core Spark SQL Spark Streaming and Spark Graph Xbeneficial Expert level  programming skills in Python and Pyspark specifically for developing Spark applications.

Experience with Spark performance optimization techniques eg caching partitioning shuffle optimizations memory management.

Experience with

PySparkfor data processing

Familiarity with data manipulation libraries Pandas Num Py Scripting  for automation and data orchestration.

Complex query writing subqueries window functions and performance tuningHBase for realtime 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 starsnowflake 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…