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Dataiku Platform Engineer

TECH NEXT
Remote

Quick apply

Job details

Full-time | Contractual / Temporary
₹70,000 - ₹1,10,000 a month
11 days ago

Qualifications

CI/CD
Pricing
Power BI
Microsoft Access
Azure
Relational databases
Software deployment
DevOps
Git
SOX
Databases
SQL
AWS
Analysis skills
PostgreSQL
Continuous integration
Macros
VBA
ETL
Financial services
Metadata
AI
RDS database
Python

Full job description

Dataiku Platform Engineer

Location: Remote
Experience: 5+ Years

Position Overview

We are looking for an experienced Dataiku Platform Engineer to design, develop, and support a Dataiku-based processing platform for data transformation, business rules, reconciliation, and decisioning.

The role involves modernizing legacy Access databases, Excel workbooks, and VBA-based processes into scalable, governed, and auditable Dataiku pipelines.

Key Responsibilities

Design and maintain Dataiku DSS workflows, scenarios, recipes, and automation.
Build scalable data ingestion, transformation, reconciliation, and business-rule processing pipelines.
Develop reusable frameworks for source onboarding, data validation, exception handling, and metadata-driven processing.
Reverse engineer and migrate MS Access queries, Excel formulas, VBA modules, and macros into Dataiku.
Implement pricing, variance, reconciliation, breach detection, and exposure analysis.
Build Data Quality Firewall controls, validation checks, quarantine workflows, and exception handling.
Ensure data lineage, traceability, auditability, and reproducibility.
Support SOX, security, governance, and audit-readiness requirements.
Integrate Dataiku with PostgreSQL/Amazon RDS, Power BI, Power Automate, Murex, SOLARC, Position Manager, and Azure services.
Collaborate with DevOps teams on Git-based CI/CD and automated deployments.
Support UAT, SIT, reconciliation testing, parallel runs, production releases, and root-cause analysis.

Required Skills

5+ years of experience in Data Engineering or Data Platform Development.
3+ years of hands-on Dataiku DSS experience.
Strong Python development skills.
Advanced SQL programming.
Experience with ETL/ELT pipelines and transformation frameworks.
Experience with PostgreSQL and relational databases.
Knowledge of Data Quality, Reconciliation, Metadata Management, and Data Lineage.
Experience with Git, CI/CD, and DevOps practices.
Experience working in regulated, compliance-driven, or audit-sensitive environments.
Strong analytical and problem-solving skills.

Preferred Skills

Commodity Trading, Energy, Risk, or Financial Services experience.
Experience with valuation, market data, or pricing platforms.
Power Automate integration experience.
Azure AI Document Intelligence familiarity.
Murex integration experience.
Amazon RDS exposure.
Experience implementing SOX-compliant solutions.
Experience with enterprise-scale Dataiku environments.
Dataiku certifications such as Core Designer, Advanced Designer, or Developer.
Microsoft Azure Data Engineer or AWS Data Analytics certification.

Key Deliverables

Dataiku Processing Factory
Metadata-Driven Ingestion Framework
Business Rules Catalog
Data Quality and Reconciliation Framework
Consensus and Variance Processing Engine
Audit Evidence and Replay Framework
Integration Components
Production Deployment Packages
Technical Documentation and Knowledge Transfer

Pay: ₹70,000.00 - ₹110,000.00 per month

Experience:

Data Platform Development: 5 years (Required)

Work Location: Remote

Quick apply

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