Tiger Analytics

Delivers Data and AI transformation

Senior Data Engineer - Azure

Data EngineeringConfirmed live in the last 24 hours

Full-timeDiamond Bar, CA, USANo salary listedIn-person

About the Job

Requirements

At least 9 years of experience leading data engineering engagements.
Strong program management experience managing complex data engineering initiatives, including stakeholder management, risk management, and offshore coordination with a data engineering team of 6–10 members.
Strong communication skills at both executive and execution levels.
Proficiency in Azure, Databricks, SQL, and Python.
Experience with on-premises-to-cloud migration.
Proficiency in Python programming.
Proficiency in SQL queries.
Experience building data pipelines using the Azure stack.
At least 2 years of experience using Apache Spark.
Working experience with Delta Lake and ETL processing.
Prior experience working in a Unix environment.
Experience harmonizing raw data into a consumer-friendly format using Azure Databricks.
Experience extracting, querying, and joining large datasets at scale.
Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data.
Strong organizational skills.

Responsibilities

Lead data engineering engagements and coordinate offshore data engineering team members.
Manage complex data engineering initiatives, including stakeholder and risk management.
Build data pipelines using the Azure stack.
Harmonize raw data into consumer-friendly formats using Azure Databricks.
Extract, query, and join large datasets at scale.
Build data ingestion pipelines using Azure Data Factory for structured and unstructured data.

Desired Qualifications

Experience in data wrangling and advanced analytic modeling.

Senior Data Engineer (Azure)

Tiger Analytics Inc. · Diamond Bar, United States · Full-time · Posted 2026-10-29

Workplace: on_site

Department: Data Engineering

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.

Requirements

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

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.

Apply

Apply at Tiger Analytics Inc.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

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