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1 Week ago

Senior Data Engineer

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Bangalore, Karnataka, India
Information Technology
Full-Time
Dcluttr

Overview

Dcluttr is an AI-Copilot for growth. We are challenging a brand’s most trusted decision-making tool - the gut feeling.

Join us in disrupting the global e-commerce AI analytics space. As one of our early team members, you will work closely with the founders, design and build high-impact user interfaces, and achieve rapid career growth in a fast-paced startup environment.

Responsibilities:

  • Design, build, and maintain scalable and efficient ETL pipelines using tools like Temporal or Airflow
  • Work with large datasets (multiple GBs and beyond), ensuring performance and reliability at scale
  • Write optimized SQL queries for complex data extraction, transformation, and loading
  • Build robust data processing systems using Java and/or Python, leveraging frameworks like Apache Spark
  • Develop and manage real-time and batch data processing pipelines using Kafka and other streaming technologies
  • Collaborate with product and analytics teams to ensure data availability and integrity
  • Monitor and improve data quality, pipeline performance, and overall infrastructure health
  • Stay updated with data engineering best practices, especially in fast-moving domains like quick commerce and e-commerce
  • Work closely with the founders to define the data architecture and influence the company’s data strategy

Requirements:

  • Strong experience working with large volumes of data and building high-performance data pipelines
  • Proficient in SQL — ability to write and optimize complex queries
  • Hands-on experience with workflow orchestration tools like Airflow or Temporal
  • Proficient in Java (required) and/or Python
  • Experience with distributed data processing frameworks like Apache Spark
  • Familiarity with Kafka or similar streaming platforms
  • Solid understanding of data modeling, data warehousing, and distributed systems
  • (Optional) Prior experience in large-scale web/API scraping using proxies and rotating IPs
  • Hunger to learn and solve tough, ambiguous data problems in a fast-paced startup environment

Why Join Us?

  • Innovate at Scale: Work on cutting-edge, data-driven apps that change the game for businesses.
  • Fast-Paced: Join a high-energy team where speed, creativity, and your impact are everything.
  • Get Rewarded: Competitive salary, ESOPs, and benefits, plus a chance to own a piece of the pie.

You’ll be in a team of high-performing superstars & it’ll be hard to keep up if you’re not one. It will be extremely intense, high ownership & rewarding personally & professionally. If that sounds good to you, hit apply - we'd love to talk :)

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