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Data Engineer

Data Engineer

rhc india
4-6 Years
Not Disclosed

This job is no longer accepting applications

Job Description

About the Company:

Relay Human Cloud is a young & dynamic company that helps some of the top US-based companies to expand their team internationally. Relay is a truly global company having its operations in US, India, Honduras, and Mexico (We are also adding a few more countries soon). Our core focus is to enable companies to connect with the best international talent. Relay helps its clients in majorly following areas: Accounting & Finance, Administration, Operations, Space Planning, Leasing, Data Science, Data Search, Machine Learning and Artificial Intelligence etc. Relay India operates from Ahmedabad and Vadodara offices. The principals and founders of Relay Human Cloud have been focused on delivering high-quality operations in cutting-edge companies for their entire careers.

Location: Ahmedabad on site

Experience: 4–6 years

Role Overview

We're hiring a Data Engineer to design and operate the pipelines, warehouses, and data infrastructure that power our analytics, AI, and product systems. This role is for someone who writes performant SQL and Python, thinks carefully about data modeling and quality, and partners closely with Product and Engineering to turn raw data into reliable, usable assets.

Key Responsibilities

• Build and maintain ETL/ELT pipelines across operational, analytics, and AI workloads

• Design data models, warehouses, and marts (Postgres, Snowflake, BigQuery, Redshift)

• Develop and orchestrate workflows using Airflow, Dagster, or Prefect

• Build dbt models for transformation, testing, and documentation

• Manage vector stores and embedding pipelines for AI/RAG use cases (Pinecone, Weaviate, pgvector)

• Ensure data quality, lineage, and observability across pipelines

• Partner with Product, Engineering, and Analytics to expose clean datasets for dashboards, agents, and downstream consumers

• Optimize pipeline performance, cost, and reliability

Required Skills

• 4–6 years of data engineering experience

• Strong Python and advanced SQL

• Hands-on experience with at least one cloud data warehouse (Snowflake, BigQuery, Redshift)

• Production experience with workflow orchestration (Airflow, Dagster, or similar)

• Working knowledge of dbt

• Familiarity with cloud infrastructure (AWS, GCP, or Azure)

• Solid grasp of data modeling, normalization, and dimensional design

Nice to Have

• Experience with vector databases and embedding workflows

• Familiarity with streaming (Kafka, Kinesis) or CDC tooling

• Exposure to real estate, finance, or asset management data

• Comfort working alongside AI/agent engineers and supporting LLM workloads

Why Join Relay Human Cloud

Opportunities to work with global clients

Dynamic and collaborative work environment

Excellent work-life balance – 5-day workweek

Comprehensive health & accident insurance

Generous paid time off and holidays

Complimentary lunches & dinners

Quarterly, Semi-Annual & Annual recognition, rewards, and giveaways

Employee development programs – Communication, Soft Skills, and more

Vibrant cultural events – Fun Fridays, Month-End Celebrations, Sports Tournaments, and Festival celebrations

Excellent Employee Referral Program

More Info

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