Senior Data Engineer (Azure)
Tiger Analytics Inc.14 days ago
Diamond Bar, CA, USASenior
Responsibilities
- Lead data engineering engagements and complex data engineering initiatives.
- Manage stakeholders, risks, offshore coordination, and a 6–10 member data engineering team.
- Build data pipelines and ingestion workflows using the Azure stack and Azure Data Factory.
- Harmonize raw data into consumer-friendly formats using Azure Databricks.
- Extract, query, and join large datasets at scale.
- Perform ETL processing, data wrangling, and on-premises-to-cloud migration work.
Requirements
- At least 9 years of experience leading data engineering engagements.
- Strong program management experience for complex data engineering initiatives.
- Proficiency in Azure, Databricks, SQL, and Python.
- At least 2 years of experience using Apache Spark.
- Experience with Delta Lake, ETL processing, Unix environments, Azure data pipelines, and Azure Data Factory.
- Strong analytical, communication, organizational, stakeholder management, risk management, and offshore coordination skills.
- Experience with advanced analytic modeling and data wrangling is preferred.
Benefits
- Full-time, on-site position in Diamond Bar, United States.
- Significant career development in a fast-growing, challenging entrepreneurial environment.
- High degree of individual responsibility.
Tech Stack
Categories
Data Engineering
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.