TRACK 06 / DATA SYSTEMS
Data Engineering
Build reliable data pipelines from ingestion through transformation, testing and analytics, with clear operational ownership.
A CLEAR DESTINATION
What you’ll be able to do.
Design and implement batch data ingestion
Model analytics data and validate transformations
Orchestrate pipelines with retries and quality checks
Monitor freshness, failures and operational costs
Built for you if…
Software engineers entering data infrastructure
Analysts moving beyond reporting
Data professionals strengthening production pipelines
Before you begin
Basic Python programming
SQL joins and aggregations
Git familiarity and understanding of tabular data
Your working toolkit
STEP BY STEP. WEEK BY WEEK.
The curriculum.
From foundations to a reviewed capstone. Open each module to explore the lessons.
01WEEKS 1–2Data architecture and SQL foundations
- Source systems and analytical requirements
- SQL query patterns and performance
- Data contracts and schemas
- Designing a small pipeline
02WEEKS 3–4Ingestion and storage
- APIs, files and incremental loads
- Parquet and partitioning
- Schema changes and bad-record handling
- Idempotent ingestion and backfills
03WEEKS 5–6Transformation and analytics modelling
- Dimensional models and grain
- dbt transformations and dependencies
- SQL testing and documentation
- Incremental models and historical data
04WEEKS 7–8Orchestration and quality
- Airflow workflows and scheduling
- Retries and dependency handling
- Freshness and quality checks
- Monitoring and data incident response
05WEEKS 9–10Scale and streaming concepts
- Spark execution and partitioning
- Batch versus streaming trade-offs
- Event schemas and late-arriving data
- Performance and cost measurement
06WEEKS 11–12End-to-end pipeline capstone
- Ingestion to analytical model
- Observability and recovery drill
- Data documentation and runbook
- Project demonstration and review
PROOF YOU CAN SHOW
Build something that matters.
Choose a capstone direction and demonstrate your decisions, implementation and results.
E-commerce analytics pipeline
Load sample orders and events, build tested analytical models and publish documented metrics.
Reliable incremental ingestion
Create an API-to-warehouse pipeline with deduplication, backfills, freshness monitoring and recovery procedures.
Data quality operations dashboard
Track failed checks and late datasets, then investigate and repair a simulated data incident.
EXPERIENCE THAT TRANSFERS
Learn from people who do the work.
The instructor profile
Senior data engineer with owned production pipelines. Practical Python, SQL, orchestration, data modelling and quality experience. Evidence of operational debugging and clear project-review feedback.
Named faculty to be announced before admissionOur selection process includes a sample lesson and practical assessment review. Instructor requirements describe the expertise we are recruiting; they are not claims about confirmed faculty.
MAKE ROOM FOR YOUR NEXT MOVE
Your time. Your investment.
Live workshops
Ask, practise, review
Recorded learning
Prepare at your pace
Independent practice
Build and apply
All times are IST. The timetable assumes no holiday breaks; any changes will be shared before admission. 10 hours of total learning effort per week.
Included in launch tuition
Live sessions and cohort recordings
Recorded preparation and resources
Assignments and project reviews
Assessment-based academy completion certificate
External certification exams, paid tool subscriptions and applicable taxes are additional unless included in your admission offer. Recording access is planned for six months after completion. Once admitted, you can pay securely through your personal payment invitation. Final terms and refund policy are shown before payment.
GOOD QUESTIONS. CLEAR ANSWERS.
A little more
clarity.
Know what you’re signing up for.
When do the November batches start?
The seven tracks launch independently on 3, 4 or 7 November 2026. Every course page shows its planned start, final session, application deadline and weekly live schedule in Indian Standard Time. Faculty and the final timetable will be confirmed before paid admission.
Are the programmes live or recorded?
Both. Short recorded lessons prepare you for live workshops, practical exercises and reviews. The workload table separates live sessions, recorded content and independent project work. Recordings and resources are planned to remain available for six months after completion.
Can I take more than one track?
Yes, subject to prerequisites and capacity. The cohorts run independently. Check live-session overlaps and combine the weekly workload before applying; some weekday tracks overlap. You can submit a separate application for each track.
Do I need prior coding experience?
Applied AI, data engineering and senior engineering assume programming foundations. Cloud and security tracks require basic IT familiarity. Role-specific automation and AI leadership are designed for business professionals; their course pages list the exact prerequisites.
Who will teach the programmes?
We are selecting instructors with relevant production experience and demonstrable teaching ability. Each course page describes the required instructor profile. Named faculty will be announced and confirmed before admission; no employer or university affiliations are implied.
What is included in the fee?
The listed launch tuition covers the proposed live teaching, recorded preparation, assignments and cohort project reviews. Applicable taxes, external certification exams and paid tool subscriptions are extra unless included in your final offer. A written refund and cancellation policy will be supplied before payment.
Does applying confirm my enrolment?
No. Applying is free and records your interest. We review your background and learning goals, confirm the programme and faculty details, and then share an admission offer. After admission approval, your invitation lets you review the final fee and written terms before paying securely.
Is a job or salary increase guaranteed?
No. The programmes focus on demonstrable skills and reviewed projects. Any ShawGrid Academy completion certificate is based on assessment requirements; it is not a university qualification or a placement guarantee.
THERE’S A NEXT VERSION OF YOU.