S'INSCRIRE

Offres d'emploi

Trouvez des postes près de chez vous, sur site, hybrides ou à distance.
  • Emplois similaires à : Data Engineer - Databricks (No Sponsorship Available)
XX
Data Engineer - Databricks (No Sponsorship Available)Asphalt Materials • Indianapolis, Indiana, United States
Postuler Maintenant
XX

Data Engineer - Databricks (No Sponsorship Available)

Asphalt Materials
  • US
    Indianapolis, Indiana, United States
  • US
    Indianapolis, Indiana, United States
Postuler Maintenant

À propos

This position requires U.S. work authorization. Essential Functions Design, implement, and maintain scalable data pipelines within a cloud data platform (Azure preferred). Build, optimize, and manage Databricks clusters, ensuring performance, cost efficiency, and reliable job execution. Develop and maintain Delta Lake tables, pipelines, and storage patterns to ensure data quality, versioning, and performance. Integrate Databricks with Azure services such as Azure Data Factory, ADLS, and Azure DevOps. Support the implementation of a new cloud‑based data warehouse, defining architecture, governance, and standards. Build and automate CI/CD pipelines for data workflows using Azure DevOps. Design and implement monitoring solutions using Databricks monitoring tools, Azure Log Analytics, or custom dashboards. Collaborate with business and technical stakeholders to identify high‑value data engineering and analytics opportunities and contribute to data governance initiatives. Apply modern data engineering best practices to support advanced use cases involving NLP, predictive analytics, and automation. Perform additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the company’s core values, competencies, and skills. Education and Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 3+ years of experience in data engineering or cloud data architecture. Expertise in Databricks or Snowflake cloud data platforms. Experience with programming languages such as Python and/or SQL. Experience with Python data science libraries (PySpark, Pandas, etc.). Experience with test‑driven development (TDD) and automated CI/CD pipelines. Experience with Linux, Bash, Docker. Database schema design and optimization experience. Strong understanding of cloud data architecture in Azure. Experience with workflow orchestration (Databricks Jobs or Azure Data Factory pipelines). Skills and Abilities Strong analytical and problem‑solving skills. Proficient in Java, R, or SQL in addition to Python. Knowledge of statistical analysis and data visualization tools, such as PowerBI or Tableau. Proficient in Microsoft Office. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#J-18808-Ljbffr
  • Indianapolis, Indiana, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.