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

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

About Kikeke Vortexium Technologies

Kikeke Vortexium Technologies Private Limited

data infrastructure

hybrid data platform

Project Overview

We are seeking an experienced Data Platform Engineer

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