Lead Data Engineer

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 presence in Europe, Singapore and LATAM markets.

We are the fastest growing and largest pure play provider in the space. We are also the only bootstrapped firm in this space looking to go IPO in the next 3 to 5 years. If you are passionate about being associated with a company like ours and join our mission to the best AI firm in the world providing Certainty to our clients in their businesses, we would like to speak with you.

Key Skills

• 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 deliverables.

Requirements

• 8+ years of overall industry experience specifically in data engineering
• Strong knowledge of data engineering principles, data integration, and data warehousing concepts.
• Should have MLops and Data Science knowledge.
• CPG/FMCG domain experience preferred
• Solid understanding of ETL processes and tools and the Azure cloud platform.
• Strong programming skills in Python, SQL, or Scala.
• Good understanding of data modeling, data architecture, and database design.
• Should have exposure to technologies such as dbt, Apache airflow and Snowflake.
• Experience extracting/querying/joining large data sets at scale
• A desire to work in a collaborative, intellectually curious environment
• Strong communication and organizational skills

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.