Senior Data Engineer – India

🔥 12 hours ago

🇮🇳 India – Remote

💵 ₹2.1M - ₹3.6M / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Alimentiv

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

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.

📋 Description

• Architect, design, and implement end-to-end data solutions using Azure Databricks, PySpark, Azure Data Factory, and Azure SQL • Design, build, and maintain data pipelines from data sources through integration to consumption • Implement data modeling standards across bronze, silver, and gold data lake layers • Develop conceptual, logical, and physical data models • Optimize Spark and SQL workloads for performance, scalability, and cost efficiency • Manage metadata using data preparation, integration, and AI-enabled tools • Drive automation of data integration and repeatable data preparation tasks • Build REST/JSON API integrations and real-time ingestion frameworks • Automate workflows using Azure DevOps pipelines and Git-based CI/CD • Implement reusable pipeline templates for ingestion and transformation • Develop automated unit, regression, and integration testing frameworks • Prepare and curate datasets for BI, reporting, and advanced analytics • Partner with analytics teams to define semantic models and KPIs • Implement performance-optimized models for self-service analytics • Support end users with data visualization solutions when needed • Lead technical design reviews and mentor junior engineers • Gather and refine data requirements with cross-functional groups, business analysts, and stakeholders • Collaborate with business and IT stakeholders to align data engineering with organizational objectives • Contribute to architectural roadmaps and technology evaluations • Identify inefficiencies and recommend improvements to the executive team

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field • 5–8 years of experience designing and developing enterprise-scale data solutions • 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 • Experience with Power BI required; Tableau or Looker a plus • Working knowledge of CI/CD automation, Git, and infrastructure as code (ARM, Bicep, or Terraform) • Good understanding of GxP, GDPR/HIPAA, and applicable CFR/CTR/CTD regulations • Demonstrated success working with IT and business stakeholders while integrating analytics and data science output into business processes and workflows • Excellent written and verbal communication skills • Ability to work independently and as part of a team and meet important deadlines