Senior Data Engineer (Azure)

Tiger Analytics Inc.; Diamond Bar (CA); Remote; USD 150,000 - 190,000; Full time

Job summary

Tiger Analytics is expanding its Data Engineering practice and seeks an Azure Data Engineer Lead to join our growing analytics team. The role centers on leading complex data engineering engagements, coordinating offshore teams, and delivering Azure-based data solutions.

The candidate will work across stakeholders, design scalable data pipelines, and ensure data is harmonized for business insights, while communicating effectively at executive and execution levels.

Qualifications

• 9+ years leading data engineering engagements.
• Strong program management experience with offshore team coordination.
• Proficiency in Azure stack, Databricks, SQL, Python.
• Experience building data pipelines and harmonizing raw data for analytics.
• Experience with Unix environments and large-scale data querying/joining.

Responsibilities

• Lead data engineering engagements and programs.
• Manage stakeholders and offshore DE team members (6–10).
• Architect and implement data pipelines using Azure services.
• Harmonize raw data into consumer-friendly formats for analytics.
• Collaborate with cross-functional teams and communicate at executive levels.

Skills

Azure

Databricks

SQL

Python

Azure Data Factory

Delta Lake

Spark

Unix

Data Pipelines

Cloud Migration

Tools

Azure Databricks

Apache Spark

Delta Lake

Azure Data Factory

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are expanding our Data Engineering practice and looking for Azure Data Engineers to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

Below are the specifics.

• Data Engineering Lead – 9+ years’ experience leading DE engagements
• Strong program management experience, managing complex data engineering initiatives – stakeholder management, risk management, offshore coordination with 6-10 members DE team.
• Strong in communication; both at executive as well as execution level
• Primary Skill- Azure, Databricks, SQL, Python
• Secondary Skill- On Prem to Cloud Migration
• Proficiency in Python programming.
• Proficiency in SQL queries
• Experience building data pipelines using Azure stack
• 2+ years of experience using Apache spark
• Good working experience on Delta Lake and ETL processing
• Prior experience of working in a Unix environment
• Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
• Experience extracting/querying/joining large data sets at scale
• Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
• Experience in data wrangling, advanced analytic modeling is preferred
• Strong communication and organizational skills

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.