Cloud Data Engineers

Uplers; Ernakulam; Remote; INR 15,00,000 - 30,00,000; Full time

Job summary

A technology company is seeking a Cloud Data Engineer to build scalable ETL/ELT and streaming data pipelines, utilizing cloud technologies. The ideal candidate will have a strong background in Databricks, GCP, and orchestration tools. This role is remote-first and offers a competitive salary package based on experience. Join us to impact real-time AI systems.

Benefits

Competitive compensation

Remote-first culture

Flexible work hours

Qualifications

• 4+ years of experience in data engineering.
• Experience with building scalable ETL/ELT data pipelines.
• Familiarity with cloud platforms (GCP, AWS).

Responsibilities

• Build scalable ETL/ELT and streaming data pipelines using cloud services.
• Orchestrate data workflows with tools like Airflow or Databricks.
• Collaborate with teams to design solutions for data observability.

Skills

Databricks

dbt

Delta Lake

Spark

Unity Catalog

AI

Airflow

Cloud Functions

Cloud Storage

GCP

AWS

Hadoop

Tools

Cloud Storage

Airflow

Spark

Job description

Overview

Join to apply for the Cloud Data Engineers role at Uplers.

Experience: 4.00+ years
Salary: INR 1500000-3000000 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position (Payroll and Compliance to be managed by: NuStudio.AI)

(*Note: This is a requirement for one of Uplers\' client - AI-first, API-powered Data Platform)

What do you need for this opportunity?

Must have skills required:

• Databricks, dbt, Delta Lake, Spark, Unity Catalog, AI, Airflow, Cloud Functions, Cloud Storage, Databricks Workflows, Dataflow, ETL/ELT, Functions, GCP (BigQuery, Pub/Sub, PySpark, AWS, Hadoop)

AI-first, API-powered Data Platform is Looking for:

We’re scaling our platform and seeking Data Engineers (who are passionate about building high-performance data pipelines, products, and analytical pipelines in the cloud to power real-time AI systems).

As a Data Engineer, you’ll:

• Build scalable ETL/ELT and streaming data pipelines using GCP (BigQuery, Pub/Sub, PySpark, Dataflow, Cloud Storage, Functions)
• Orchestrate data workflows with Airflow, Cloud Functions, or Databricks Workflows
• Work across batch + real-time architectures that feed LLMs and AI/ML systems
• Own feature engineering pipelines that power production models and intelligent agents
• Collaborate with platform and ML teams to design observability, lineage, and cost-aware performant solutions

Bonus: Experience with AWS, Databricks, Hadoop (Delta Lake, Spark, dbt, Unity Catalog) or interest in building on it

Why Us?

• Building production-grade data & AI solutions
• Your pipelines directly impact mission-critical and client-facing interactions
• Lean team, no red tape — build, own, ship
• Remote-first with async culture that respects your time
• Competitive comp and benefits

Our Stack: Python, SQL, GCP/Azure/AWS, Spark, Kafka, Airflow, Databricks, Spark, dbt, Kubernetes, LangChain, LLMs

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well.

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don\u2019t hesitate to apply today. We are waiting for you!

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology

Industries

• Technology, Information and Internet

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