Senior Data Engineer

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data‑driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting‑edge ML and data solutions n us to do great work and shape the future of enterprise AI.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment? At Tiger Analytics, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.

• Mid‑Senior level

• Full‑time

• Consulting

• IT Services and IT Consulting

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies.
• Work with a team of developers with deep experience in machine learning, distributed microservices, and full‑stack systems.
• Utilize programming languages like Python and Open Source RDBMS and No
  
  SQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community.
• Collaborate with digital product managers, and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
• Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

• 6+ years of experience in application development including Python, SQL.
• 4+ years of experience with Azure cloud.
• 4+ years of experience with distributed data/computing tools (Map Reduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 4+ years of experience working on real‑time data and streaming applications.
• 4+ years of experience with No
  
  SQL implementation (Mongo, Cassandra).
• 4+ years of data warehousing experience (Redshift or Snowflake).
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting.
• 2+ years of experience with Agile engineering practices.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast‑growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.