Data Engineer

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🔥 0 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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IntegriChain

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📦 Logistics

⚕️ Healthcare Insurance

💰 Private Equity Round on 2016-03

Consulting • Logistics • Healthcare Insurance

IntegriChain is a leading provider of data-driven solutions designed to enhance pharmaceutical commercialization and market access. The company offers an extensive platform that integrates strategy, data, applications, and infrastructure, specifically tailored to support therapy commercialization. IntegriChain provides analytics, applications, and managed services that help pharmaceutical manufacturers optimize the reach and profitability of their drugs by harnessing channel, patient, and payer data. Their services include strategy and operational consulting, covering key aspects such as contracts, pricing, patient access, distribution, and logistics.

📋 Description

• Design, build, and maintain scalable, reliable data pipelines and warehouse models • Develop data pipelines using dbt, Python, or other ELT tools • Design, implement, and maintain data orchestration and transformation processes • Build and maintain complex dbt models • Develop data warehouse structures, including dimension and fact tables • Implement Type 1 and Type 2 slowly changing dimensions • Manage and execute data mart updates for downstream reporting and analytics • Build conformed dimensions through integration with Master Data Management systems • Work with life science and healthcare datasets to ensure data quality and relevance • Collaborate with cross-functional teams to translate data requirements into technical solutions • Partner with data analysts and data scientists to deliver clean datasets • Collaborate with engineers across Git repositories using version control and code review practices

🎯 Requirements

• Bachelor’s degree (B.Tech or B.E.) in Computer Science or a related engineering discipline and/or equivalent practical experience • Advanced SQL skills, including writing, optimizing, and troubleshooting complex queries across large datasets • Strong expertise in data warehouse development and concepts, including dimensional modeling, Type 1/Type 2 SCDs, data mart updates, and conformed dimensions via MDM integration • Hands-on proficiency with ETL tools such as dbt, Python, SSIS, or PowerCenter • Proven ability to design and build reliable, scalable, and maintainable ETL/ELT pipelines • Demonstrated experience working with Git and collaborating with other engineers across repositories • Availability to work with meaningful overlap with US Eastern business hours • Experience working with life science or healthcare data and understanding of its quality and compliance considerations • Working knowledge of cloud platforms such as Azure or AWS • Practical experience building and optimizing workloads in Snowflake, preferred • Practical experience building and maintaining complex dbt models, including testing and documentation, preferred • Snowflake or dbt certification, preferred

🏖️ Benefits

• Excellent and affordable medical benefits • Non-medical perks including Flexible Paid Time Off (PTO) • Over 700+ development courses free to all employees • Mission-driven work helping improve patients' lives

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