Lead Data Engineer- Snowflake

Posted 6 Days Ago
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Newport Beach, CA
In-Office
Expert/Leader
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
As a Lead Data Engineer, you will design, build, and maintain data pipelines and infrastructure, collaborate with cross-functional teams, and support data-driven decision making.
Summary Generated by Built In

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 at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking an experienced Lead Data Engineer with expertise in AWS & Snowflake to join our data team. As a Lead Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure using Cloud Snowflake DBT. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.


Requirements
  • 10+ years of overall industry experience specifically in data engineering
  • 8+ years of experience building and deploying large-scale data processing pipelines in a production environment.
  • Strong proficiency in Python, SQL, and PySpark
  • Expert-level AWS (S3, Glue, Lambda) and Databricks/Apache Spark for batch and real-time streaming.
  • Deep expertise in the Snowflake Cloud Data Platform, including datamart development and SnowPro-level optimization
  • Lead the implementation of dbt (Core/Cloud) and Matillion for robust ETL/ELT workflows.
  • Leverage AWS best practices to ensure pipelines are cost-effective, reliable, and high-performing.
  • Develop and maintain version-controlled data workflows using Git and automated deployment pipelines.
  • Understanding of Datawarehouse (DWH) systems, and migration from DWH to data lakes/Snowflake
  • Strong problem-solving skills and the ability to handle complex data challenges
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management

Benefits

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Top Skills

Spark
AWS
Databricks
Dbt
Git
Matillion
Pyspark
Python
Snowflake
SQL
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The Company
Bengaluru, Bengaluru
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine.

In India, our offices are located in Chennai, Hyderabad and Bangalore.

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