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About the Role

Tiger Analytics is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives.

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Synapse, and Azure Databricks.
Architect and manage secure enterprise cloud storage, including ADLS Gen2, Delta Lake, and relational/NoSQL databases.
Ingest and process both high-volume batch data and real-time streaming workloads.
Optimize database queries, PySpark jobs, and data pipeline performance to minimize execution time and cloud costs.
Collaborate with BI and analytics teams to model dimensional data marts (Star/Snowflake schemas) for reporting.
Implement data governance, automated data quality validation, and end-to-end lineage tracking (e.g., via Microsoft Purview).
Secure data pipelines and storage using Azure Role-Based Access Control (RBAC), Key Vaults, and encryption standards.
Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices.

Requirements

Experience designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud.
Experience collaborating with data scientists, analysts, and AI teams.
Experience with Azure Data Factory, Azure Synapse, and Azure Databricks.
Experience with ADLS Gen2, Delta Lake, and relational/NoSQL databases.
Experience with high-volume batch data and real-time streaming workloads.
Experience optimizing database queries, PySpark jobs, and data pipeline performance.
Experience with dimensional data marts (Star/Snowflake schemas).
Experience with data governance, automated data quality validation, and end-to-end lineage tracking.
Experience securing data pipelines and storage using Azure Role-Based Access Control (RBAC), Key Vaults, and encryption standards.
Experience with Azure DevOps, GitHub Actions, and CI/CD best practices.

Skills

Data Engineering
Data Pipelines
Data Integration
AWS Cloud
Azure Data Factory
Azure Synapse
Azure Databricks
ADLS Gen2
Delta Lake
Relational Databases
NoSQL Databases
Batch Data Processing
Real-time Streaming
PySpark
Dimensional Modeling
Star Schema
Snowflake Schema
Data Governance
Data Quality Validation
Lineage Tracking
Microsoft Purview
Azure RBAC
Key Vaults
Encryption
Azure DevOps
GitHub Actions
CI/CD

Location

AWS cloud

Work Type

Full-time

Experience Level

Experienced

Benefits

Significant career development opportunities
Unique opportunity to be part of a small, challenging, and entrepreneurial environment
High degree of individual responsibility

About the Company

Tiger Analytics is a fast-growing advanced analytics consulting firm.
Consultants bring deep expertise in Data Science, Machine Learning and AI.
Trusted analytics partner for several Fortune 100 companies.
Enabling clients to generate business value from data.
Business value and leadership recognized by Forrester and Gartner.

Equal Opportunity

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.