Data and Analytics Engineers

at  Capgemini

Vancouver, BC, Canada -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate24 Jan, 2025USD 24 Hourly25 Oct, 20242 year(s) or aboveDbt,Data Strategies,Collaboration,Data Architecture,Data Modeling,Analytical Models,Hive,Engineers,Data Governance,Anomaly Detection,Spark,Data Models,Relational DatabasesNoNo
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Description:

We are seeking Data and Analytics Engineers with a passion for designing and building efficient data pipelines and models. The ideal candidate will have experience in modern data architectures and governance tools, as well as the ability to develop data strategies that drive business insights and product optimizations.

Required Skills:

  • 5-9+ years of industry experience with a BS/Masters, or 2+ years with a PhD.
  • Experience with modern data architecture and governance tools such as Trino, Spark, dbt, or Hive.
  • Proven ability to develop innovative data strategies and processes for measuring data.
  • Experience in building and maintaining analytical data models.
  • Expertise in establishing data quality standards and quickly detecting anomalies.
  • Working knowledge of relational databases and query authoring.

Key Responsibilities:

  • Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources.
  • Develop data models that enable the efficient analysis and manipulation of data for product optimization.
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Software Engineers, and Analysts to define data requirements and deliver impactful data solutions.
  • Work with Analytics Engineers to design and implement dimensional data models using star schemas.

Skill Summary:

  • Data Tools: Trino, Spark, dbt, Hive
  • Data Modeling: Analytical models, dimensional data models (star schemas)
  • Data Governance: Data quality standards, anomaly detection
  • Database Skills: Relational databases, SQL query authoring
  • Collaboration: Working with cross-functional teams (Data Scientists, Engineers, Product Managers)

The pay range that the employer in good faith reasonably expects to pay for this position is $24.96/hour - $39.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.
Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations

Responsibilities:

  • Design, build, and maintain robust and efficient data pipelines that collect, process, and store data from various sources.
  • Develop data models that enable the efficient analysis and manipulation of data for product optimization.
  • Collaborate with cross-functional teams, including Data Scientists, Product Managers, Software Engineers, and Analysts to define data requirements and deliver impactful data solutions.
  • Work with Analytics Engineers to design and implement dimensional data models using star schemas


REQUIREMENT SUMMARY

Min:2.0Max:9.0 year(s)

Information Technology/IT

IT Software - DBA / Datawarehousing

Software Engineering

Graduate

Proficient

1

Vancouver, BC, Canada