Job DescriptionSenior Data Engineer should have experience with
Hands on programming experience in python and PYSparkAdvanced SQL skills with query optimization techniques
Strong understanding of AWS and distributed computing paradigms ability to design and develop data ingestion programs to process large data sets in Batch mode using Glue Lambda S3 redshift and data bricksBasic understanding of IAM roles security and AWS infrastructure
Hands on experience to work with large scale data platforms in development of cloud solutions in AWS data platform with proven track record in driving business success
Understanding of Dev Ops Pipelines using Jenkins GitLab should be strong in data modelling and Data architecture concepts well versed with Project management tools and Agile Methodology
Sound knowledge of data governance principles and tools alationglue data quality mesh Capable of suggesting solution architecture for diverse technology applications
Additional relevant skills given below are highly valued Good to have
Ability to develop data ingestion programs to ingest realtime data from LIVE sources using Apache Kafka Spark Streaming and related technologies
Understanding of DBT Data Build Tool for data transformation and modeling
The base compensation range for this role in the posted location is: 85,000 - 95,000
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
