Data Engineer

Customertimes • Information Technology • Professional Services • Python • SQL • Power BI • ETL/ELT • Azure Data Factory • 3 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 7+ years exp

First seen by Alion on Sep 26, 2026.

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Customertimes

Customertimes is a global enterprise technology consulting firm specializing in Salesforce, SAP, Microsoft, and AI implementations. 2,000+ consultants across 60+ regions delivering end-to-end digital transformation.
customertimes.com • HQ: New York, United States • Professional Services • Information Technology • IT Consulting & Digital Transformation • Est. 2007

About the Role :

We are looking for an experienced Data Engineer to join a global pharmaceutical analytics program focused on building modern cloud-based data platforms and enterprise reporting solutions. You will design, develop, and maintain scalable data pipelines and analytics solutions using Microsoft Azure technologies.

Responsibilities :

- Execute the various software development lifecycle (SDLC) activities including user stories, use cases, software requirements, design, development and testing

- Implement and maintain software products ensuring the effectiveness of the quality

- Develop test plans and test cases for software components

- Design and implement the optimal data pipeline to ingest and orchestrate the data in Azure to fulfill the business requirements.

Required Qualifications :

- 7+ years of experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics

- Expertise in SQL, Python, Py-Spark or Spark-SQL

- Expertise to develop reports/dashboards in Power BI

- Expertise to troubleshoot performance issues and optimize Azure models, reports and dashboards

- Exposure to Cognitive Services, Log analytics, Function app, Logic App

- Strong analytical and communication skills

- Preferred : Microsoft Certified Data Engineers

- Strong understanding of web technologies, relational databases, data warehousing, and ETL design

Skills

Data Engineering, Azure, Analytics, Data Pipeline, DataLake, Azure Data Factory, Python, SQL, PySpark

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