Data Engineer

CapgeminiNew York, NY
Onsite

About The Position

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. The Expertise You Have Bachelors Degree or equivalent in a technology related field eg Computer Science Engineering etc required 10 years of demonstrable experience in Information Technology functions Passion for engineering excellence empowering others and collaboration across the enterprise Good attention to detail and willingness to independently analyze needs and impact of changes to the Production environment Detailed understanding of release change problem and project management principles and methodologies The skills you bring Advanced skills in data intensive application development data integration and data pipeline design patterns on a distributed platform Strong knowledge of designing data engineering solutions and platforms Working experience with Relational Databases like Oracle Experience with business intelligence and analytics tools such as OBIEE PowerBI or Tableau Strong working knowledge of cloud native data warehousing and data lake solutions using Snowflake Redshift etc Experience building scalable patterns for data consumption from cloud based datalakes Advanced experience with PLSQL and complex queries Solid understanding of Cloud Computing and DevOps concepts including CICD pipelines Significant experience with ELT data integration and data movement design patterns Software development in the fields of data engineering analytics data warehouse and reporting Prior handson skills with databases applications and data integration patterns including ETL Focus on solid architecture and design principles The Value you deliver Support the runtime production environment and serve as senior point of contact for all incidents Partnership with technology and infrastructure teams for planning and managing upgrades Communicate changes incidents and status to senior leadership in product area and chapter area Ensure software development standards are established and adhered to by all squads aligned to the roadmap Partner with squad leads and other chapter teams to build the roadmap and help with prioritization Impact analysis and communications of changes across Agile teams and manage delivery calendar Measure teams success and results and adjust accordingly Remove impediments for squads and chapter teams Ability to work in a matrix environment across multifunctional teams Talent growth and assignments to position the teams for delivering value on strategic priorities Proactively share insight knowledge enterprise strategies and industry themes with everyone

Requirements

  • Bachelors Degree or equivalent in a technology related field eg Computer Science Engineering etc required
  • 10 years of handson experience in Data engineering data warehousing and analytics technologies
  • Proven ability with modern ObjectOriented Programming Languages Python Scala Java
  • Advanced skills in data intensive application development data integration and data pipeline design patterns on a distributed platform
  • Strong knowledge of designing data engineering solutions and platforms
  • Working experience with Relational Databases like Oracle
  • Experience with business intelligence and analytics tools such as OBIEE PowerBI or Tableau
  • Strong working knowledge of cloud native data warehousing and data lake solutions using Snowflake Redshift etc
  • Experience building scalable patterns for data consumption from cloud based datalakes
  • Advanced experience with PLSQL and complex queries
  • Solid understanding of Cloud Computing and DevOps concepts including CICD pipelines
  • Significant experience with ELT data integration and data movement design patterns
  • Working experience of NoSQL and BigData technologies such as eg Hadoop HBase MongoDB Cassandra etc
  • Your experience in executing projects in an Agile environment
  • 10 years of demonstrable experience in Information Technology functions
  • Passion for engineering excellence empowering others and collaboration across the enterprise
  • Good attention to detail and willingness to independently analyze needs and impact of changes to the Production environment
  • Detailed understanding of release change problem and project management principles and methodologies
  • Software development in the fields of data engineering analytics data warehouse and reporting
  • Prior handson skills with databases applications and data integration patterns including ETL
  • Focus on solid architecture and design principles

Responsibilities

  • Support the runtime production environment and serve as senior point of contact for all incidents
  • Partnership with technology and infrastructure teams for planning and managing upgrades
  • Communicate changes incidents and status to senior leadership in product area and chapter area
  • Ensure software development standards are established and adhered to by all squads aligned to the roadmap
  • Partner with squad leads and other chapter teams to build the roadmap and help with prioritization
  • Impact analysis and communications of changes across Agile teams and manage delivery calendar
  • Measure teams success and results and adjust accordingly
  • Remove impediments for squads and chapter teams
  • Ability to work in a matrix environment across multifunctional teams
  • Talent growth and assignments to position the teams for delivering value on strategic priorities
  • Proactively share insight knowledge enterprise strategies and industry themes with everyone

Benefits

  • 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
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