Data Engineer

Location: Gurgaon (India)

Employment Type: Full-Time

About Us

Data is the lifeblood of our platform. We are scaling a high-velocity technology company where every product decision, recommendation, and growth loop relies on clean, real-time data pipelines. Our engineering culture values data integrity, high-throughput architecture, and clean modeling. If you love taming messy datasets and building reliable pipelines that power business intelligence and AI workflows, you will thrive here.

The Role

We are seeking a sharp and proactive Data Engineer to design, build, and optimize our data infrastructure. You will architect scalable ETL/ELT pipelines, manage our data warehouse, and ensure that our analytics, product, and AI/ML teams have seamless access to high-quality, structured data. You won't just move data; you will build the foundational architecture that drives our next stage of growth.

Key Responsibilities

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ETL/ELT Pipeline Development: Design, build, and maintain robust, scalable data ingestion and transformation pipelines using Python and SQL.

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Data Warehouse Management: Architect and optimize our cloud data warehouse (Snowflake, BigQuery, or Redshift) for performance and cost efficiency.

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Data Modeling & Quality: Design clean dimensional data models, implement automated data quality checks, and ensure schema evolution without breaking downstream consumers.

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AI & Analytics Collaboration: Provision clean, feature-rich datasets to support data scientists, ML engineers building RAG/LLM pipelines, and business analysts.

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Performance & Monitoring: Monitor pipeline execution, troubleshoot data drift, and optimize query performance across large datasets.

What We Are Looking For (Requirements)

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Experience: 2+ years of qualified experience in data engineering, building production data pipelines in modern cloud environments.

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Coding Proficiency: Strong proficiency in Python and advanced SQL (window functions, query tuning, indexing)

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