Senior Data Engineer

Alimentiv

Lead Data Engineer designing and building scalable data solutions to support enterprise analytics and AI/ML. Architecting pipelines with industry-standard tools to ensure compliance and promote self-service analytics.

Posted 7/9/2026full-timeRemote • 🇮🇳 IndiaSenior💰 ₹2,094,639 - ₹3,603,725 per yearWebsite

Tech Stack

Tools & technologies

AzurePySparkSQLTableauTerraform

About the role

Key responsibilities & impact

Design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives.
Architect end-to-end pipelines using industry-standard tools.
Drive automation and move solutions effectively into production.
Ensure compliance with data governance requirements (including GxP and HIPAA/GDPR).
Build reusable, integrated pipelines and analytical models that promote self-service analytics.
Provide technical leadership across the team and mentor junior engineers.
Partner with business stakeholders to align data engineering with organizational objectives.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
5–8 years of experience designing and developing enterprise-scale data solutions (data warehouses, data lakes, operational databases)
Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps.
Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.
Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management.
Experience with Power BI required; Tableau or Looker a plus.
Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM, Bicep, or Terraform).
Experience in life sciences or healthcare industries is a strong plus.
Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations.
Demonstrated success working with both IT and business stakeholders while integrating analytics and data science output into business processes and workflows.
Must have excellent written and verbal communication skills.
Proven ability to work independently and as part of a team and meet important deadlines.
Statistical analysis skills are an asset.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Alimentiv Website LinkedIn All Job Openings 201 - 500 employees Founded 2020 ⚕️ Healthcare Insurance 🔬 Science 💊 Pharmaceuticals Healthcare Insurance
Science
Pharmaceuticals Alimentiv is a specialty contract research organization focused on gastrointestinal (GI) and liver diseases. With over 30 years of experience, Alimentiv offers a comprehensive range of clinical research and imaging services, including clinical trial management, site management, regulatory affairs, and precision medicine. The company is at the forefront of medical research and development, providing state-of-the-art imaging solutions and actionable biomarker insights. Alimentiv supports the development of GI compounds and is active in more than 60 countries, working with a network of medical and operational experts to accelerate clinical trials and patient recruitment. Senior Data Engineer Job not on LinkedIn 🔥 0 minutes ago 🇮🇳 India – Remote 💵 ₹2.1M - ₹3.6M / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure PySpark SQL Tableau Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and operationalize scalable data solutions to support enterprise analytics and AI/ML initiatives.
Architect end-to-end pipelines using industry-standard tools.
Drive automation and move solutions effectively into production.
Ensure compliance with data governance requirements (including GxP and HIPAA/GDPR).
Build reusable, integrated pipelines and analytical models that promote self-service analytics.
Provide technical leadership across the team and mentor junior engineers.
Partner with business stakeholders to align data engineering with organizational objectives. 🎯 Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred)
5–8 years of experience designing and developing enterprise-scale data solutions (data warehouses, data lakes, operational databases)
Expert-level proficiency in Databricks, Azure Fabric, PySpark, SQL, and Azure DevOps.
Proven experience with Azure Data Factory, ADLS Gen2, and Azure SQL Server.
Strong experience with Microsoft Azure data management architectures including Data Warehouse, Data Lake, and Data Catalogue, and supporting processes such as Data Integration, Governance, and Metadata Management.
Experience with Power BI required; Tableau or Looker a plus.
Working knowledge of CI/CD automation, version control (Git), and infrastructure as code (ARM, Bicep, or Terraform).
Experience in life sciences or healthcare industries is a strong plus.
Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations.
Demonstrated success working with both IT and business stakeholders while integrating analytics and data science output into business processes and workflows.
Must have excellent written and verbal communication skills.
Proven ability to work independently and as part of a team and meet important deadlines.
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Hard Skills & Tools

Data Warehouse DesignData Lake DevelopmentOperational Database DevelopmentPySparkSQLCI/CD AutomationStatistical Analysis

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationTeam CollaborationMentoring

Certifications

Bachelor’s Degree In Computer ScienceMaster’s Degree Preferred