Senior Data Engineer

Lever, Inc.; India; Remote; INR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Fully remote

High ownership

AI-assisted development

Cross-border collaboration

Enterprise-scale pipelines

Flexible remote

Job summary

Lever, Inc. in India is seeking a Senior Data Engineer to own end-to-end data pipeline work, from design to production delivery, using Microsoft Azure Fabric, Databricks, and cloud data services.

This fully remote role emphasizes collaboration with global teams to deliver scalable, enterprise-grade solutions with a focus on performance and cost efficiency. This position requires 5+ years of data engineering experience, strong SQL/data modeling skills, and proficiency in Python/Spark.

Qualifications

• 5+ years of hands-on professional experience in Data Engineering or a closely related role.
• Strong production experience with Microsoft Azure Fabric, Databricks, and Azure data services.
• Proficiency in SQL, data modeling, data integration, and modern data engineering principles.
• Experience designing and building enterprise-grade data pipelines and ETL/ELT solutions.
• Experience with cloud-based data platforms in production environments.
• Proficiency in Python, Spark, or comparable data processing technologies is preferred.
• Ability to troubleshoot complex data and production issues and optimize solutions.
• Comfortable using AI tools and automation to improve engineering productivity.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
• Build reliable ETL and ELT processes supporting both structured and unstructured data.
• Develop enterprise-grade data integration solutions that are secure, scalable, maintainable, and production-ready.
• Collaborate with business stakeholders to translate data requirements into technical solutions.
• Apply strong data modeling and SQL practices to create efficient data structures.
• Optimize data processing workflows for performance, scalability, reliability, and cost efficiency.
• Use Python, Spark, and related technologies to develop data engineering solutions.
• Leverage AI-assisted development tools to improve delivery speed and solution quality.
• Monitor, troubleshoot, and resolve production data issues and identify improvements.
• Collaborate with architects, analysts, developers, and other stakeholders throughout the project lifecycle.
• Take end-to-end ownership of assigned work and ensure timely, high-quality delivery.

Skills

Databricks

Microsoft Fabric

Azure data services

SQL

Data modeling

ETL/ELT

Python

Apache Spark

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in India.

This is a fully remote opportunity for an experienced data engineer who enjoys solving complex data challenges and owning solutions from design through delivery. You will build scalable, production-grade data pipelines using Microsoft Azure Fabric, Databricks, and modern cloud data services. The role combines hands‑on engineering with close collaboration across business and technical teams to turn data requirements into reliable solutions. You will have significant ownership over quality, timelines, performance, scalability, and cost efficiency. AI‑assisted development and automation are encouraged to improve engineering productivity and accelerate delivery. This role is ideal for a proactive engineer who thrives in a collaborative, evolving environment and is comfortable working with global stakeholders.

Accountabilities

• Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric, Databricks, and Azure data services.
• Build reliable ETL and ELT processes supporting both structured and unstructured data.
• Develop enterprise‑grade data integration solutions that are secure, scalable, maintainable, and production‑ready.
• Work closely with business stakeholders to understand data requirements and translate them into effective technical solutions.
• Apply strong data modeling and SQL practices to create efficient and reliable data structures.
• Optimize data processing workflows for performance, scalability, reliability, and cost efficiency.
• Use Python, Spark, and related technologies to develop and enhance data engineering solutions where appropriate.
• Leverage AI‑assisted development tools, automation, and modern engineering practices to improve delivery speed and solution quality.
• Monitor, troubleshoot, and resolve production data issues while proactively identifying opportunities for improvement.
• Collaborate with architects, analysts, developers, and other technical stakeholders throughout the project lifecycle.
• Take end‑to‑end ownership of assigned work, ensuring high‑quality delivery and accountability for timelines and outcomes.
• Proactively identify risks, clarify requirements, communicate progress, and keep stakeholders informed throughout delivery.
• Adapt to evolving business and technical requirements while maintaining delivery commitments.
• Collaborate effectively with global teams and provide overlap with U.S. East Coast working hours when critical discussions require it, potentially until 1:00 PM ET.

Requirements

• 5+ years of hands‑on professional experience in Data Engineering or a closely related role.
• Strong production experience with Microsoft Azure Fabric, Databricks, and Azure data services.
• Solid knowledge of SQL, data modeling, data integration, and modern data engineering principles.
• Proven experience designing and building enterprise‑grade data pipelines and ETL/ELT solutions.
• Experience working with cloud‑based data platforms in production environments.
• Proficiency in Python, Apache Spark, or comparable data processing technologies is preferred.
• Strong understanding of scalable data architecture, pipeline performance, reliability, and optimization.
• Experience working with both structured and unstructured data.
• Demonstrated ability to troubleshoot complex data and production issues and implement sustainable solutions.
• Comfortable using AI tools and automation to improve engineering productivity, solve technical problems, and enhance solution quality.
• Strong ownership mindset, with the ability to manage work independently and deliver without constant supervision.
• Proactive communication skills, including the ability to raise risks early, ask clarifying questions, and keep stakeholders informed.
• Ability to adapt quickly to changing priorities and evolving technical or business requirements.
• Strong collaboration skills and experience working with cross‑functional and global teams.
• Ability to communicate technical concepts clearly to both technical and business stakeholders.
• Comfortable working remotely and coordinating effectively across time zones.
• Must‑have technical skills: Databricks, Microsoft Fabric, and Data Engineering.

Benefits

• Fully remote, full‑time opportunity available to candidates based anywhere in India.
• Opportunity to work with modern cloud data technologies including Microsoft Azure Fabric and Databricks.
• High‑ownership role with responsibility for solutions from design through production delivery.
• Opportunity to apply AI‑assisted development and automation to real‑world data engineering challenges.
• Exposure to enterprise‑scale data pipelines, integration solutions, and cloud‑based data platforms.
• Collaboration with architects, analysts, developers, business stakeholders, and global technical teams.
• Flexible remote working environment with opportunities for cross-border collaboration.
• Opportunity to influence engineering practices, solution quality, scalability, and delivery efficiency.
• Dynamic environment suited to engineers who enjoy solving complex problems and continuously improving how they work.