Senior Data Engineer

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.

Join a data engineering team building the infrastructure that powers large-scale advertising analytics and AI-driven products.
You will own end-to-end data pipelines that ingest, transform, and deliver high-volume advertising data from multiple platforms.
The role sits at the intersection of data engineering, programmatic advertising, analytics, and attribution.
You will work extensively with Snowflake and AWS while contributing to data architecture, real-time processing, and data quality initiatives.
Your work will directly influence how campaign performance is measured and how data-driven products operate across international markets.
As a senior contributor, you will also mentor junior engineers and help shape technical decisions as the data platform evolves.
This is an opportunity to solve complex data challenges in a fast-moving environment while building scalable infrastructure for real-time insights.

• Design, build, maintain, and optimize end-to-end ETL and ELT pipelines for high-volume advertising data.
• Ingest data from multiple advertising and demand-side platforms, including Adform, Google Ads, and Meta Marketing API, into Snowflake.
• Develop and optimize Snowflake stored procedures supporting data rollups, attribution calculations, reporting, and analytics aggregations.
• Manage AWS Lambda functions using Node.js and Java for real-time and batch data processing, including pixel event ingestion and Snowflake notifications.
• Design and maintain Snowflake data models supporting dashboard reporting, attribution analysis, analytics, and AI-driven product capabilities.
• Build and manage S3-based data lake architecture for raw data storage, ingestion, and processing.
• Support SQS-based asynchronous workflows for report generation and data-processing queues.
• Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness.
• Implement data quality checks, monitoring, and alerting mechanisms to detect pipeline failures and data anomalies.
• Collaborate with engineering teams to integrate new data sources, advertising platforms, and DSP connections.
• Document data flows, schemas, pipeline architecture, and operational processes to ensure maintainability and knowledge sharing.
• Mentor junior engineers and contribute to technical decisions related to data architecture, engineering practices, and platform scalability.
• Balance hands-on engineering responsibilities with technical leadership and cross-functional collaboration.

Requirements

• 5+ years of professional experience in data engineering or a closely related field.
• Proven experience designing, building, and owning production-grade data pipelines from ingestion through transformation and delivery.
• Strong experience working with Snowflake, including data modeling, stored procedures, aggregations, and performance optimization.
• Hands-on experience with AWS data and cloud services, particularly S3, Lambda, and SQS.
• Experience working with PostgreSQL or other relational databases.
• Strong understanding of ETL/ELT architecture, data ingestion, transformation, orchestration, and data quality practices.
• Experience processing high-volume or near-real-time datasets is highly valuable.
• Familiarity with APIs and integrating data from third-party platforms and external data sources.
• Experience with Node.js and/or Java for cloud-based data processing is advantageous.
• Ability to mentor junior engineers and influence technical decisions related to data architecture.
• Strong analytical and troubleshooting skills, with the ability to investigate complex data and pipeline issues.
• Comfortable owning projects independently while collaborating effectively with engineering and cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and operate effectively in a fast-paced environment.
• Strong written and verbal communication skills, with a proactive and collaborative approach.
• Comfortable working primarily between 9:30 AM and 6:30 PM ET.
• Adaptable, curious, research-oriented, and comfortable experimenting with new technologies and approaches.
• A player/coach mindset, combining hands-on execution with technical leadership and mentorship.
• Ability to receive and provide direct feedback constructively.
• Entrepreneurial mindset, creative confidence, and a strong sense of ownership.

Benefits

• Competitive salary.
• Paid time off.
• Fully remote work arrangement from India.
• Opportunity to work on high-volume advertising and AI-driven data products.
• Exposure to modern data infrastructure built around Snowflake and AWS.
• Opportunity to shape data architecture and engineering practices as the platform scales.
• Mentorship and technical leadership opportunities.
• Collaborative, international, and fast-paced engineering environment.
• Opportunity to work with complex datasets involving real-time advertising, attribution, analytics, and multiple external platforms.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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