Project-Based Data Platform Engineer

3 days ago

Indore, Madhya Pradesh, India KiKeKe Vortexium Full time ₹ 15,00,000 - ₹ 25,00,000 per year

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

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

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