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CLOUDSUFI Linkedin · Posted 2mo ago

Software Engineer - Data Engineering

India

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Indexed description

About Us

CLOUDSUFI, a Google Cloud Premier Partner, is a global leading provider of data-driven digital transformation across cloud-based enterprises. With a global presence and focus on Software & Platforms, Life sciences and Healthcare, Retail, CPG, financial services and supply chain, CLOUDSUFI is positioned to meet customers where they are in their data monetization journey.

Our Values

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace. Please explore more at https://www.cloudsufi.com/

Qualifications And Skills

  • Education: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
  • Experience: 3+ years of proven experience as a Data Engineer, with a strong portfolio of successfully implemented data pipelines.
  • Programming Languages: Proficiency in Python for data manipulation, scripting, and pipeline development.
  • Cloud Platforms and Tools: Expertise in Google Cloud Platform (GCP) services, including Cloud Storage, Cloud SQL, Cloud Run, Dataflow, Pub/Sub, BigQuery, and Apigee. Proficiency with Git-based version control.
  • Experience with LLM-based tools or concepts for data automation (e.g., auto-schematization).
  • Familiarity with similar large-scale public dataset integration initiatives.
  • Experience with multilingual data integration.

Core Competencies

  • Must Have - SQL, Python, BigQuery, (GCP DataFlow / Apache Beam), Google Cloud Storage (GCS)
  • Must Have - Proven ability in comprehensive data wrangling, cleaning, and transforming complex datasets from various formats (e.g., API, CSV, XLS, JSON)
  • Secondary Skills - SPARQL, Schema.org, Apigee, CI/CD (Cloud Build), GCP, Cloud Data Fusion, Data Modelling
  • Solid understanding of data modelling, schema design, and knowledge graph concepts (e.g., Schema.org, RDF, SPARQL, JSON-LD).
  • Experience with data validation techniques and tools.
  • Familiarity with CI/CD practices and the ability to work in an Agile framework.
  • Strong problem-solving skills and keen attention to detail. Preferred

Behavioural Competencies

⮚ Should have very good verbal and written communication, technical articulation, listening and presentation skills

⮚ Should have proven analytical and problem-solving skills

⮚ Should have demonstrated effective task prioritization, time management and internal/external stakeholder management skills

⮚ Should be a quick learner, self-starter, go-getter and team player ⮚ Should have experience of working under stringent deadlines in a Matrix organization structure

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