Project-Based Data Platform Engineer (AWS + GCP / S3 + BigQuery)

ConfidentialIndore, India

18 days ago

Job description

About Kikeke Vortexium Technologies

Kikeke Vortexium Technologies Private Limited is a technology company based in Indore, India , developing high-performance data and gaming platforms for the Casino Elite Group (Belgium) .

We are currently expanding our data infrastructure to enable advanced analytics, business intelligence, and financial reporting across multiple business entities in Europe and Asia.

Our next milestone is to build a hybrid data platform combining AWS and Google Cloud technologies — keeping Amazon S3 as our data lake and BigQuery as our analytics warehouse.

Project Overview

We are seeking an experienced Data Platform Engineer (contract / freelance) to design and implement our next-generation data architecture.

This project will establish our full data foundation — from ingestion to analytics — connecting our transactional systems, marketing data, and payment flows into a single, governed analytics environment.

Responsibilities

Design and implement a multi-zone data lake in Amazon S3 (raw, staging, curated)
Develop data ingestion and transformation pipelines (Aurora → S3 → BigQuery)
Set up orchestration and scheduling using Airflow / Cloud Composer
Manage schema evolution , partitioning , and data cataloging (AWS Glue / GCP Data Catalog)
Implement data validation, monitoring, and error handling
Optimize cost and performance across both clouds
Create data models and views in BigQuery for analytics teams
Provide clear documentation and handover for long-term maintainability

Technical Requirements

4–8 years of experience in data engineering or data platform architecture

Proven expertise with :

AWS : S3, Glue, Lambda, Athena

GCP : BigQuery, Dataflow, Cloud Composer

Python & SQL for ETL / ELT pipelines

Airflow / Cloud Composer for orchestration

Terraform / IaC (nice to have)

dbt or equivalent for analytics transformations (bonus)

Experience building cross-cloud pipelines (AWS → GCP)

Strong understanding of data lake design, governance, and optimization

Experience integrating with marketing or transactional systems is a plus

Engagement Details

Type : Project-based / Contract

Location : Remote (India-based)

Start Date : Immediate

Estimated Duration : 2–3 months

Budget : Competitive, depending on experience and deliverables

What We Offer

Work on a real-world, production-grade hybrid data architecture

Collaboration with an international team across Belgium and India

Opportunity for follow-up or retainer work after successful delivery

How to Apply

Interested candidates can send :

A short cover message with availability

LinkedIn profile or CV

Examples of previous data platform work (S3 / BigQuery / pipeline projects)

Expected project fee

Skills Required

S3, Airflow, BigQuery, Sql, Lambda, Gcp, Terraform, dbt, glue , DataFlow, Python, Aws

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