Lead Data Engineer

• 8+ years of overall industry experience specifically in data engineering
• Strong knowledge of data engineering principles, data integration, and data warehousing concepts
• Very Strong technical developer ( Pyspark, Python, DBX, Azure DE stack (ADF, Logic apps, devOps - CI/CD)).
• Preferably Databricks or Microsoft certified Engineer (advanced level certifications)
• Hands on person, should be able to write code as he needs to work on complex user stories

Architecture

• Very good at understanding and has ability to implement published common data architecture patterns in Azure.

Tech Leadership

• Ability to lead and guide junior team members in programming & code deployment activities.
• Participate in engineering discussions and lead discussions into constructive actionable, tangible task items.
• Identify and highlight engineering and business risks at right moments, propose mitigation plans.
• Participate in engineering-product scrum discussions and help prioritize, document user stories, and look after

Tiger Analytics is the largest AI and advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring depth in the industry and deep expertise in Data Science, Data Engineering, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon Valley and have our global delivery center in Chennai, India. We also have a in Europe, Singapore and LATAM markets.