Azure Data Engineer

Customertimes • Python • SQL • Power BI • ETL/ELT • Azure Data Factory • 1 month ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp

First seen by Alion on Aug 29, 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

Job Description :

As part of the Analytics team, the Analytics Azure Data Engineer must possess the following skills :

- Experience with Azure data services including Azure Data Lake, Azure Data Factory, Azure Data Pipelines, and Synapse Analytics is mandatory.

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

- Expertise to develop reports and dashboards in Power BI.

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

- Should have exposure to work in Cognitive Services, Log analytics, Function app, Logic App and so on.

- Should have strong analytical skill.

- Preferred Microsoft Certified Data Engineers.

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

- Should have good communication skill to interact with different stakeholders.

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.

Skills

Data Engineering, Azure, SQL, Python, PySpark, Azure Data Factory, Data Pipeline, Power BI, Data Ingestion, Dashboard Design

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