Stefanini Group

Cloud Data Engineer

SAN FRANCISCO, CAPosted 23 days ago

Job summary

  • Job post source

    This job is from a recruiting firm hiring for a separate company.

  • Job overview

    The Cloud Data Engineer role at Stefanini Group involves designing and developing complex data warehouse and business intelligence solutions to support company data needs.

  • Responsibilities and impact

    The role requires designing, developing, testing, and automating data warehouse applications, creating reports and dashboards, collaborating with teams, and improving processes to meet delivery commitments and business requirements.

  • Experience and skills

    Candidates need 5 to 9+ years in data engineering or related fields, expertise in SQL, data modeling, ETL tools like Informatica, AWS cloud data warehousing technologies, programming skills in Python, and experience with Agile teams.

  • Company information

    Stefanini Group is a global IT consulting and outsourcing company with a presence in multiple continents, serving Fortune 1000 clients across various industries and holding a CMM Level 5 certification.

  • Job location and travel

    The position is onsite in San Francisco, CA, with rare domestic travel and possible on-call duties.

  • Application process

    Applicants are encouraged to connect directly with the recruiter Akash Gupta via phone or email for quick application and further process details.

  • Unique job features

    The job features working with advanced AWS cloud services, serverless applications, CI/CD pipelines, and requires high data integrity and technical communication skills.

Company overview

Stefanini Group is a global IT services company specializing in digital transformation, consulting, cloud services, and outsourcing. Founded in 1987 in Brazil, it has expanded its footprint to over 40 countries, serving various industries including finance, manufacturing, and healthcare. The company generates revenue through managed services, technology solutions, and business process outsourcing. Key historical milestones include its international expansion in the 1990s and strategic acquisitions to enhance its service portfolio.

How to land this job

  • Position your resume to highlight your expertise in cloud data engineering with a focus on AWS services such as S3, Glue, Lambda, and Amazon Redshift, emphasizing your experience in designing and deploying data warehouse solutions in cloud environments.

  • Emphasize your strong skills in SQL, data modeling, ETL processes (especially with Informatica), and your ability to create detailed ERDs and documentation, as these are key technical requirements in the job description.

  • Apply through multiple channels including Stefanini Group's corporate careers page and LinkedIn to maximize your application visibility and consider reaching out directly to Akash Gupta as mentioned in the job posting for a more direct connection.

  • Connect with current employees in Stefanini’s cloud or data engineering teams on LinkedIn; use ice breakers like commenting on recent Stefanini digital transformation projects, or asking about their experiences working on AWS cloud data warehousing solutions to start a conversation.

  • Optimize your resume for ATS by incorporating keywords such as 'AWS', 'Amazon Redshift', 'ETL', 'Informatica', 'SQL', 'data modeling', 'CI/CD pipelines', and 'serverless applications' exactly as they appear in the job description to ensure your resume passes automated screenings.

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