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

• ETL/ELT Pipeline Development: Design, build, and maintain robust, scalable data ingestion and transformation pipelines using Python and SQL.
• Data Warehouse Management: Architect and optimize our cloud data warehouse (Snowflake, BigQuery, or Redshift) for performance and cost efficiency.
• Data Modeling & Quality: Design clean dimensional data models, implement automated data quality checks, and ensure schema evolution without breaking downstream consumers.
• AI & Analytics Collaboration: Provision clean, feature-rich datasets to support data scientists, ML engineers building RAG/LLM pipelines, and business analysts.
• Performance & Monitoring: Monitor pipeline execution, troubleshoot data drift, and optimize query performance across large datasets.
  
  

What We Are Looking For (Requirements)

• Experience: 2+ years of professional experience in data engineering, building production data pipelines in modern cloud environments.
• Coding Proficiency: Strong proficiency in Python and advanced SQL (window functions, query tuning, indexing).
• Data Stack Mastery: Hands-on experience with modern data orchestration tools (Airflow, Prefect, or Dagster) and cloud data warehouses.
• Big Data & Streaming: Familiarity with distributed data processing or streaming frameworks (Kafka, Spark, or DBT).
• Database & Cloud Knowledge: Solid grasp of relational databases (MySQL, PostgreSQL) and cloud platforms (AWS, GCP, or Azure).
  
  

What We Offer

• Competitive Compensation: Attractive base salary paired with performance bonuses and equity options.
• Modern Stack: Full ownership to design and scale next-generation data architecture from the ground up.
• Learning & Growth: Dedicated annual stipend for data engineering certifications and technical conferences.
• Flexibility & Wellness: Remote-friendly work environment and comprehensive health coverage.
  
  

Our Hiring Process

• Initial Screening: 30-minute introductory chat with our recruitment team.
• Technical Assessment: Practical SQL and Python data pipeline coding challenge.
• Architecture Deep Dive: Discussion on data modeling, pipeline failures, and scaling strategies with our lead engineers.
• Final Chat & Offer: Closing alignment and welcome aboard!
  
  

Skills: sql,pipeline,python,cloud,airflow,modeling,pipelines,aws,architecture,design,data warehouse,data