Design, build, manage and modernize mission-critical data platforms and infrastructure
Ensure availability of pristine, harmonized and refined datasets for decision-makers
Understand project objectives from a business perspective and convert into data requirements
Investigate data to uncover quality issues and initial insights
Architect and develop data pipelines to cleanse, normalize, and transform raw data into final datasets
Scrutinize data solutions to ensure alignment with business and technical requirements
Manage data lifecycle to ensure data remains fresh and impactful
Collaborate with stakeholders and cross-functional teams to deliver data-driven solutions
Requirements
Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB
Excellent problem-solving, analytical, and critical thinking skills
Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems
Experience working as a Data Engineer and/or in cloud modernization (preferred)
Experience in Data Modelling (preferred)
Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization (preferred)
Cloud platform certification, e.g., AWS Certified Data Analytics – Specialty, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate (preferred)
Understanding of social coding and Integrated Development Environments, e.g., GitHub and Visual Studio (preferred)
Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology (preferred)
Year of service : 5 years
Benefits
State-of-the-art resources and Fortune 100 clients
Hands-on experience and career growth opportunities
Learning opportunities and professional development
Chance to certify in all four major platforms
Employee learning programs with access to certifications (Microsoft, Google, Amazon, Skillsoft)
Volunteering and giving platform (donate, start fundraisers, volunteer, search non-profits)
Benefits that give you choice and support you and your family
Well-being support
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data miningdata storageExtract-Transform-Load (ETL)data pipelines developmentdata modelingrelational databasesNoSQL databasesPostgreSQLDB2MongoDB
Soft skills
problem-solvinganalytical skillscritical thinkingattention to detailcommunication skillsproject management
Certifications
Open Certified Technical Specialist with Data Engineering SpecializationAWS Certified Data Analytics – SpecialtyGoogle Cloud Professional Data EngineerMicrosoft Certified: Azure Data Engineer Associate