Pharma Data Engineer: End-to-End Pipelines & Snowflake

Indegene Inc.; Hinoba-an; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Indegene Inc. in the Philippines is seeking a Data Engineer to design and optimize scalable data pipelines using AWS Glue and Snowflake-based solutions.

You will collaborate with product owners, analytics teams, and business stakeholders to deliver robust data models, ensure data quality, governance, and security across Lakehouse architectures, enabling advanced analytics and reporting.

Qualifications

• 3+ years of experience in data engineering with ownership of data pipelines
• Proven ETL/ELT development, data modeling, and modern data architectures
• Strong ability to work with stakeholders and translate business requirements into technical solutions
• Experience working with Life Sciences / Pharma data is a strong advantage
• 4+ years of hands‑on experience with AWS Glue and Snowflake including snow pipe, Snowpark, Cortex, Snowflake SQL and Delta Lake
• Hands-on experience with cloud object storage S3 integrated with Snowflake
• Strong programming experience in Python for data engineering use cases
• Advanced SQL skills, including complex joins, window functions, and performance tuning
• Experience working with Veeva CRM, Salesforce and relation databases such as MS SQL Server, Oracle, PostgreSQL or MySQL
• Understanding of data quality, governance, and security concepts in enterprise data platforms
• Excellent problem‑solving, analytical, and communication skills, with the ability to independently deliver complex tasks

Responsibilities

• Own the design, development, and optimization of scalable data pipelines using AWS Glue
• Collaborate with product owners, analytics teams, and business stakeholders to translate data and analytics requirements into robust Snowflake-based solutions
• Design, implement, and maintain efficient data models (Lakehouse patterns) to support evolving analytical needs while ensuring performance and data integrity
• Build, enhance, and migrate complex ETL/ELT pipelines leveraging Snowflake, Delta Lake, Spark, and cloud object storage
• Continuously improve performance, scalability, reliability, and cost efficiency of data pipelines through code optimization, cluster tuning, and best practices
• Extract, transform, and integrate data from heterogeneous data sources, including structured, semi-structured, and unstructured data
• Take ownership across the end-to-end data lifecycle including analysis, design, development, testing, deployment, monitoring, and production support
• Process and analyze large-scale datasets using python, SQL and DBT to enable downstream analytics, reporting, and advanced use cases
• Implement and adhere to data governance, data quality, security, and compliance standards, ensuring proper documentation, lineage, and auditability within the Lakehouse
• Act as a technical owner for assigned data domains or pipelines, ensuring timely delivery and adherence to engineering standards
• Apply domain knowledge in pharma commercial analytics including brand, customer, omnichannel, and content performance data
• Enable the creation of actionable KPIs and analytical datasets for marketing, brand, and digital operations teams

Skills

Stakeholder collaboration

Problem solving

Communication

Tools

AWS Glue

Snowflake

Snowpipe

Snowpark

Cortex

Delta Lake

Python

SQL

S3

Veeva CRM

Salesforce

MS SQL Server

Oracle

PostgreSQL

MySQL

Job description

Indegene Inc. in the Philippines is seeking a Data Engineer to design and optimize scalable data pipelines using AWS Glue and Snowflake-based solutions.

You will collaborate with product owners, analytics teams, and business stakeholders to deliver robust data models, ensure data quality, governance, and security across Lakehouse architectures, enabling advanced analytics and reporting.