Senior Data Engineer

KONE

Pune, India
Data pipeline development on aws, azure, databricks
Lake house architecture with databricks and delta lake
Devops mindset and practices
Develop Data Foundation based data products to enable digital transformation and new scalable analytics, AI, and digital use cases

Job Summary

  • Develop Data Foundation based data products to enable digital transformation and new scalable analytics, AI, and digital use cases.
  • Work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment.
  • Contribute to team success through self-driven, proactive work, problem-solving, and knowledge sharing.

Matching Summary

Develop Data Foundation based data products to enable digital transformation and new scalable analytics, AI, and digital use cases.

Skills & Requirements

Must-have

  • Data pipeline development on AWS, Azure, Databricks
  • Lake house architecture with Databricks and Delta Lake
  • DevOps mindset and practices
  • SQL and Python coding proficiency
  • Modern multi-cloud stack experience

Nice-to-have

  • Agile development methodologies
  • Cybersecurity awareness
  • Teamwork and collaboration
  • Continuous improvement mindset

Key Requirements

  • Master's degree in software engineering, data engineering, computer science, or related field
  • > 3 years hands-on data engineering professional experience
  • Experience with AWS, Gitlab, Databricks, Airflow, SCL, Python, Scala, DBT, AWS CDK, Terraform
  • Experience with enterprise data landscapes and enterprise data sources (SAP ERP, Salesforce, PDM)
  • Proficiency in spoken and written English language

Work Rights

Not specified

Tailored Resume

Cover Letter