Sr. Data Engineer

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position Summary

The Senior Data Engineer will lead the design, optimization, and support of enterprise-grade, high-availability data platforms. This role is responsible for modernizing legacy systems, building scalable Azure and Snowflake-based pipelines, and enabling AI/ML-ready data ecosystems. The ideal candidate will combine strong production support expertise with a forward-looking mindset to architect and deliver future-ready data platforms. This position is based in Hyderabad, India.


Principal Responsibilities

  • Design and build modern data pipelines using Azure Data Factory and Snowflake.
  • Migrate and modernize legacy SSIS/SSRS workloads to cloud-native solutions.
  • Implement DataOps practices, CI/CD pipelines, and automation.
  • Ensure database and pipeline scalability, security, and performance.
  • Partner with analytics and AI teams to deliver trusted, AI-ready data assets.
  • Lead cloud migration initiatives across structured, semi-structured, and streaming data sources.
  • Mentor junior engineers, fostering a culture of continuous learning and adaptability.
  • Provide production support for enterprise data platforms, including database environments, pipelines and integrations.
  • Provide root-cause analysis and preventive solutions for recurring production issues, minimizing downtime and improving stability.
  • Contribute beyond technical scope when necessary, demonstrating versatility in a startup environment.


Qualifications

  • Advanced SQL Server administration and T-SQL expertise.
  • Strong experience with Azure Data Factory, Synapse, Data Lake, and Snowflake.
  • Proficiency in schema design, performance tuning, and data architecture.
  • Familiarity with streaming frameworks (Kafka, Event Hubs) a plus.
  • Demonstrated leadership in data modernization and transformation projects.

Minimum Requirements

  • Bachelor’s degree in computer science, IT, or related field.
  • 7–10 years of experience in SQL Server and enterprise data engineering.
  • Hands-on experience with Azure cloud services and Snowflake.

About SpinTheory

At SpinTheory.ai, we are shaping the future of data and AI by helping organizations scale insights and accelerate innovation. As a startup with big ambitions, we seek high-energy, adaptable professionals who thrive in dynamic environments and are ready to wear multiple hats to deliver success. Here, curiosity, commitment, and continuous learning are not optional, they are the foundation of everything we do. Flexibility in client engagement, time zones, and schedules is key, and every team member plays a role in driving our shared mission. By joining us, you will help architect the next generation of enterprise data ecosystems while growing alongside a company that is moving fast and building bold.

Core Values:

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