Senior Data Engineer
Maharashtra, Pune, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou'll work across the full data lifecycle—from ingestion and transformation to delivery and monitoring—while building scalable systems that serve our ML and product teams.
Build orchestration layers that manage data flows across the eCommerce ecosystem:
Own end-to-end data engineering solutions using Airflow, Python, and GCP services—from design through deployment and monitoring
From the employer’s posting
As a Senior Data Engineer, you'll architect and build the critical data infrastructure that powers our intelligent platform. You'll own the orchestration layer connecting ad channels, website engagement data, and eCommerce platforms—ensuring data flows seamlessly, context is preserved, and insights drive action. You'll work across the full data lifecycle—from ingestion and transformation to delivery and monitoring—while building scalable systems that serve our ML and product teams. You'll join an existing data engineering team and collaborate closely with ML engineers, product teams, and customers to build reliable data pipelines that power real business outcomes.
Your Impact Build orchestration layers that manage data flows across the eCommerce ecosystem: Maintain context for intelligent summarization and action—design data models and systems that preserve business context, enabling the right insights at the right time for autonomous agents and human decision-makers
Maintain context for intelligent summarization and action—design data models and systems that preserve business context, enabling the right insights at the right time for autonomous agents and human decision-makers Own end-to-end data engineering solutions using Airflow, Python, and GCP services—from design through deployment and monitoring Extend and optimize existing data infrastructure—work with current ingestion tools (Supermetrics) while building custom pipelines where needed
What you’ll bring
All qualificationsCore experience
- 5–8 years of experience building production data pipelines
- Experience with workflow orchestration using Airflow or similar tools
- Experience with eCommerce platforms (Shopify, BigCommerce) and their data models
- Hands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)
- Knowledge of adtech/martech ecosystems—tracking pixels, attribution, ad platform APIs
- Understanding of data modeling for analytics and ML use cases
Qualification wording
5–8 years of experience building production data pipelines
Experience with workflow orchestration using Airflow or similar tools
Experience with eCommerce platforms (Shopify, BigCommerce) and their data models
Hands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)
Knowledge of adtech/martech ecosystems—tracking pixels, attribution, ad platform APIs
Understanding of data modeling for analytics and ML use cases
Tools in this posting
- Python
- Google Cloud (GCP)
- Kafka
- Airflow
- SQL
- BigQuery
- Great_expectations
Source — Tool mentions in context
- Maintain context for intelligent summarization and action—design data models and systems that preserve business context, enabling the right insights at the right time for autonomous agents and human decision-makers - Own end-to-end data engineering solutions using Airflow, Python, and GCP services—from design through deployment and monitoring - Extend and optimize existing data infrastructure—work with current ingestion tools (Supermetrics) while building custom pipelines where needed
- 5–8 years of experience building production data pipelines - Strong coding skills in Python with expert-level SQL - Experience with workflow orchestration using Airflow or similar tools
- Experience with workflow orchestration using Airflow or similar tools - Hands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.) - Understanding of data modeling for analytics and ML use cases
- Knowledge of adtech/martech ecosystems—tracking pixels, attribution, ad platform APIs - Experience with stream processing technologies (Kafka, Pub/Sub, Dataflow) - Familiarity with agent-based approaches for data orchestration and quality monitoring
- Strong coding skills in Python with expert-level SQL - Experience with workflow orchestration using Airflow or similar tools - Hands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)
- Understanding of ML pipelines and feature engineering for production ML systems - Experience with data quality frameworks and observability tools (Great Expectations, Monte Carlo, etc.) - Background in reverse ETL and data activation use cases
Job description
Out of the Blue is building an agentic AI platform to help eCommerce brands scale smarter and protect revenue. Our platform proactively detects and acts on what breaks growth—misfiring pixels, broken tracking, underperforming funnels.
We combine GenAI, classic ML, and optimization to surface insights, recommend fixes, and deploy autonomous agents that take action across the stack.
The Role
As a Senior Data Engineer, you'll architect and build the critical data infrastructure that powers our intelligent platform. You'll own the orchestration layer connecting ad channels, website engagement data, and eCommerce platforms—ensuring data flows seamlessly, context is preserved, and insights drive action.
You'll work across the full data lifecycle—from ingestion and transformation to delivery and monitoring—while building scalable systems that serve our ML and product teams.
You'll join an existing data engineering team and collaborate closely with ML engineers, product teams, and customers to build reliable data pipelines that power real business outcomes.
Your Impact
Build orchestration layers that manage data flows across the eCommerce ecosystem:
Maintain context for intelligent summarization and action—design data models and systems that preserve business context, enabling the right insights at the right time for autonomous agents and human decision-makers
Own end-to-end data engineering solutions using Airflow, Python, and GCP services—from design through deployment and monitoring
Extend and optimize existing data infrastructure—work with current ingestion tools (Supermetrics) while building custom pipelines where needed
Plan and execute future pipeline modernization—identify opportunities to improve scalability, reliability, and maintainability of existing systems
Shape the future of data engineering at Out of the Blue by bringing ideas on automation, optimization, and best practices
What You Bring
5–8 years of experience building production data pipelines
Strong coding skills in Python with expert-level SQL
Experience with workflow orchestration using Airflow or similar tools
Hands-on experience with GCP (BigQuery, Cloud Storage, Dataflow, Pub/Sub, etc.)
Understanding of data modeling for analytics and ML use cases
Passion for code quality—you write maintainable, well-documented, testable code
Nice to Have
Experience with eCommerce platforms (Shopify, BigCommerce) and their data models
Knowledge of adtech/martech ecosystems—tracking pixels, attribution, ad platform APIs
Experience with stream processing technologies (Kafka, Pub/Sub, Dataflow)
Familiarity with agent-based approaches for data orchestration and quality monitoring
Understanding of ML pipelines and feature engineering for production ML systems
Experience with data quality frameworks and observability tools (Great Expectations, Monte Carlo, etc.)
Background in reverse ETL and data activation use cases
Our values help us make decisions that determine how we achieve our goals. Our ideal candidate is someone who is very hands-on and passionate about solving problems and displays a strong sense of curiosity and ownership towards their work.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on outoftheblue.freshteam.com. The employer’s form will show what is required.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Maharashtra, Pune, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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- Status in our records
- Active
- First seen by us
- Jun 3, 2026
- Recorded sightings
- 45
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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