Data Engineer

Techcarrot • IT Consulting & Digital Transformation • Custom Software Development • Bachelor's Degree • Python • SQL • Scala • Power BI • ETL/ELT • Azure Data Factory • 1 day ago
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Salary
≈ $19k – $39k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 5, 2026. First seen by Alion on Oct 5, 2026.

Overview
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Profile match

Techcarrot

Techcarrot is a global IT services provider and digital transformation partner that delivers custom software, enterprise applications, and IT consulting to clients worldwide. Headquartered in Dubai, United Arab Emirates, the company specializes in cloud solutions, data analytics, cybersecurity, and Salesforce integrations. Through its end-to-end technology services, the firm helps organizations modernize legacy systems, optimize business workflows, and accelerate growth.
techcarrot.ae • HQ: Dubai, United Arab Emirates • Enterprise Apps Implementation Partners • Custom Software Development • IT Consulting & Digital Transformation
Tech stack of Techcarrot
You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value.
  • You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences.
  • You participate in early state design and feature definition activities.
  • Responsible for implementing robust data pipeline using Microsoft, Databricks Stack
  • Responsible for creating reusable and scalable data pipelines.
  • You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products.
  • You have strong communication skills to effectively convey complex data insights to non-technical stakeholders.
  • You have an experience working collaboratively in cross-functional teams and manage multiple projects simultaneously

Requirements Skills:

  • Advanced working knowledge and experience with relational and non-relational databases.
  • Experience building and optimizing Big Data pipelines, architectures, and datasets.
  • Strong analytic skills related to working with structured and unstructured datasets.
  • Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines.
  • Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages.
  • Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.
  • Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services.
  • Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications and Experience:
  • Minimum 5-7 years of practical experience as Data Engineer.
  • Bachelor’s degree in computer science, software engineering, information technology, or a related field.

• Azure cloud stack in-production experience.

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