Senior Data Engineer

Engg; India; Remote; INR 2,000,000 - 4,000,000; Full time

Job summary

Engg is seeking a Senior Data Engineer for a full-time remote role based in India. The candidate will design and maintain scalable data pipelines on Microsoft Azure Fabric, build ETL/ELT processes, and collaborate with business teams to translate data needs into robust solutions.

Required 5+ years in data engineering, strong SQL/data modeling, and experience with Azure data services. Proficiency in Python or Spark is preferred, with a focus on production-grade data platforms.

Qualifications

• 5+ years of hands-on experience as a Data Engineer.
• Strong experience with Microsoft Azure Fabric, Databricks and Azure data services.
• Solid knowledge of SQL and data modeling concepts.
• Experience building enterprise-grade data pipelines and data integration solutions.
• Proficiency in Python, Spark, or similar technologies is preferred.
• Experience working with cloud-based data platforms in production environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric.
• Build reliable ETL/ELT processes for structured and unstructured data.
• Work with business teams to understand data requirements and translate them into technical solutions.
• Optimize data processing workflows for performance, scalability, and cost.
• Apply AI-assisted development tools and modern engineering practices to improve delivery speed and solution quality.
• Troubleshoot production issues and proactively identify improvements.
• Collaborate with architects, analysts, and developers throughout the project lifecycle.
• Owns their work. Take responsibility for quality, timelines, and outcomes without constant follow-up.
• Thinks beyond the obvious.
• Actively use AI and automation to solve problems, improve engineering productivity, and deliver better solutions.
• Communicates proactively. Raise risks early, ask questions when something isn't clear, and keep stakeholders informed.
• Adapts quickly. Requirements evolve, and you're comfortable adjusting priorities while maintaining delivery commitments.
• Works collaboratively. Available to engage with global teams and can overlap with the U.S. East Coast during critical discussions (up to 1:00 PM ET, as needed).

Skills

Databricks

Fabric

Data Engineering

Tools

Microsoft Azure Fabric

Azure data services

Databricks

Job description

Senior Data Engineer

Weekday - Senior Data Engineer India Technology, Information and Media – Technology, Information and Media / Full-time / Remote

Industry: Software Development

Seniority level: Mid-senior level

Min Experience: 5+ years

Location: India

Job Type: full-time

₹20,00,000 - ₹40,00,000 a year

This is a full-time Remote role for an experienced Data Engineer who enjoys solving complex data problems and takes ownership from design through delivery.

You can work from home (anywhere in INDIA, job location is in India).

This role is ideal for someone who can build scalable data pipelines on Microsoft Azure Fabric , leverage AI to improve engineering productivity, and work closely with business and technical stakeholders.

Requirements and Qualifications

• 5+ years of hands‑on experience as a Data Engineer.
• Strong experience with Microsoft Azure Fabric, Databricks and Azure data services.
• Solid knowledge of SQL and data modeling concepts.
• Experience building enterprise‑grade data pipelines and data integration solutions.
• Proficiency in Python, Spark, or similar technologies is preferred.
• Experience working with cloud‑based data platforms in production environments.

Key Skills and Responsibilities

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric.
• Build reliable ETL/ELT processes for structured and unstructured data.
• Work with business teams to understand data requirements and translate them into technical solutions.
• Optimize data processing workflows for performance, scalability, and cost.
• Apply AI‑assisted development tools and modern engineering practices to improve delivery speed and solution quality.
• Troubleshoot production issues and proactively identify improvements.
• Collaborate with architects, analysts, and developers throughout the project lifecycle.
• Owns their work. Take responsibility for quality, timelines, and outcomes without constant follow‑up.
• Thinks beyond the obvious.
• Actively use AI and automation to solve problems, improve engineering productivity, and deliver better solutions.
• Communicates proactively. Raise risks early, ask questions when something isn't clear, and keep stakeholders informed.
• Adapts quickly. Requirements evolve, and you're comfortable adjusting priorities while maintaining delivery commitments.
• Works collaboratively. Available to engage with global teams and can overlap with the U.S. East Coast during critical discussions (up to 1:00 PM ET, as needed).

Must‑have skills

• Databricks
• Fabric
• Data Engineering

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.