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TenX Tech Stack

AI consulting and data engineering for enterprise analytics and cloud transformation

IT Services and IT Consulting Stamford, Connecticut 201–500 employees Founded 2015 Privately Held

TenX is a data-engineering-focused consulting firm built around ETL, data warehousing, and advanced analytics. The tech stack—Talend, Informatica, DataStage, Snowflake, Databricks, plus Python ML libraries (TensorFlow, PyTorch, scikit-learn)—reflects a practice centered on enterprise data platform builds. Hiring skews heavily toward senior and lead data roles across Pakistan and Estonia, while active projects target data marts, warehouse implementations, and multi-cloud strategy—suggesting deep specialization in data infrastructure rather than generalist consulting.

Tech Stack 19 technologies

Core StackTalend Informatica Hadoop Python NumPy Pandas scikit-learn TensorFlow PyTorch AWS Databricks Snowflake SQL SQL Server Integration Services Cloudera IBM DataStage R Azure GCP

What TenX Is Building

Challenges

  • Reducing development effort
  • Enforcing consistent business rules
  • Rapid project changes
  • Integrating data across multiple cloud platforms
  • Optimizing performance and cost-efficiency

Active Projects

  • Data models and data marts development
  • Etl scripts development for staging and warehouse
  • Evaluation and selection of data modeling, bi and dw tools
  • A/b testing framework development
  • Custom data model development
  • Enterprise data warehouse implementation
  • Hybrid multi-cloud data strategy
  • Advanced analytics solution deployment

Hiring Activity

Steady7 roles · 3 in 30d

Department

Data
6
Engineering
1

Seniority

Senior
4
Junior
2
Lead
1
Company intelligence

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About TenX

TenX operates as a global tech agency blending AI consulting, data analytics, and cloud services for mid-market and enterprise clients. Founded in 2015 and headquartered in Stamford, Connecticut, the company scales between 201–500 employees. The work centers on building and optimizing data platforms: designing data models, developing ETL pipelines, implementing enterprise data warehouses, and deploying advanced analytics solutions. They also function as a product lab and strategic investor. Recent project focus includes hybrid multi-cloud data strategy and addressing challenges around integration across platforms, cost-efficiency, and adapting to rapid requirements changes.

HeadquartersStamford, Connecticut
Company Size201–500 employees
Founded2015
Hiring MarketsPakistan, Estonia

Frequently Asked Questions

What data tools does TenX use?

TenX primarily works with Talend, Informatica, IBM DataStage, and SQL Server Integration Services for ETL; Snowflake and Databricks for warehousing and analytics; and Python libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch) for data science and ML.

Is TenX hiring data engineers?

Yes. TenX has 7 active roles, 6 in data and 1 in engineering. Most positions target senior and lead levels. They are actively recruiting in Pakistan and Estonia.

What is TenX working on?

Current projects include enterprise data warehouse implementation, ETL development, data mart and custom data model design, A/B testing frameworks, business intelligence tool evaluation, and hybrid multi-cloud data strategy.

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