Algotale-Senior Consultant Data Engineer

Reposted 3 Days Ago
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Gurugram, Haryana, IND
In-Office
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Design, build, and operate large-scale batch and real-time data platforms and pipelines. Take end-to-end ownership—from architecture to deployment—debug and optimize distributed open-source systems, collaborate across teams, and drive data engineering best practices.
Summary Generated by Built In
About the Role

We are looking for a highly skilled Senior Consultant Data Engineer to join our engineering team and work on building large-scale, real-time data systems.

This role is ideal for engineers who enjoy solving complex distributed systems challenges, building scalable platforms, and operating in fast-paced product environments. The ideal candidate should be deeply hands-on, capable of driving technical decisions independently, and comfortable working across data, backend, and infrastructure layers.

This is not a traditional ETL or reporting-focused role. We are looking for strong engineering talent with deep ownership, debugging capabilities, and systems-level thinking.

What You’ll Do

• Design and build scalable, high-performance data platforms and pipelines
• Work on distributed data systems across both batch and real-time processing
• Take end-to-end ownership — from architecture and development to deployment and optimization
• Debug, optimize, and extend open-source data systems
• Solve infrastructure and systems-level problems, beyond just tool usage
• Collaborate across teams and drive data engineering best practices

What We’re Looking For

• 7+ years of experience in Data Engineering or Data Platform roles
• Strong understanding of distributed systems, data storage, and compute layers
• Ability to design systems from first principles, not just work with existing tools
• Hands-on experience with open-source or self-managed architectures
• Strong programming skills in Python or Go (Golang)
• Experience with system design, performance tuning, and debugging at scale

Nice to Have

• Backend engineering experience (APIs, services, and system design)
• Experience with infrastructure management and deployments
• Exposure to high-scale or real-time systems

Key Skills

• Query & OLAP: Trino, ClickHouse, Apache Pinot
• Batch & Stream Processing: Apache Spark (OSS), Apache Flink (OSS)
• Table Format: Apache Iceberg
• Cataloging: AWS Glue
• Cloud: AWS
• Languages: Go, Python

About Algotale:

Algotale is a premier IT staffing and software solutions provider, delivering top-tier talent and custom-built technology to drive business success. With a strong network of skilled professionals across software development, cloud solutions, and project management, we help companies scale efficiently and execute projects seamlessly. Our flexible engagement models cater to both short-term and long-term needs, ensuring precision-matched expertise for every requirement. From IT staffing to full-cycle software development, Algotale empowers businesses with innovative, high-impact solution

Skills Required

  • 7+ years of experience in Data Engineering or Data Platform roles
  • Strong understanding of distributed systems, data storage, and compute layers
  • Ability to design systems from first principles
  • Hands-on experience with open-source or self-managed architectures
  • Strong programming skills in Python or Go (Golang)
  • Experience with system design, performance tuning, and debugging at scale
  • Experience with Trino
  • Experience with ClickHouse
  • Experience with Apache Pinot
  • Experience with Apache Spark (OSS)
  • Experience with Apache Flink (OSS)
  • Experience with Apache Iceberg
  • Experience with AWS Glue
  • Experience with AWS cloud
  • Backend engineering experience (APIs, services, and system design)
  • Experience with infrastructure management and deployments
  • Exposure to high-scale or real-time systems
Am I A Good Fit?
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The Company
100 Employees

What We Do

NextHire Consulting is an AI-driven recruiting platform that streamlines the hiring process for companies. By leveraging AI agents for sourcing, screening, and interviewing, the platform enables teams to focus on pre-qualified finalists. It provides data-driven insights into candidate soft skills and behavioral styles, aiming to disrupt traditional recruitment models with efficient, automated, and science-based talent acquisition solutions for businesses of all sizes.

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