Data Engineer

Echos • Python • SQL • ETL/ELT • 18 days ago
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Salary
≈ $30k – $59k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 8+ years exp
Overview
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Echos

Echos is a deep-tech engineering company delivering intelligent systems at scale by combining AI, advanced data platforms, and human expertise to turn complex data into actionable insights across industries.
echo-s.ai • Bengaluru • Gurgaon • Science & Engineering • Data & Analytics • Artificial Intelligence • 51-200 employees • Est. 2025

Responsibilities:

  • Design and build scalable data pipelines and ETL/ELT workflows.
  • Develop data solutions using Python, SQL and PySpark/Spark.
  • Design and implement AWS-based data architectures.
  • Work with large-scale data across Data Lakes, Data Warehouses and Lakehouse platforms.
  • Build and optimise batch and real-time data pipelines.
  • Implement data quality, monitoring and pipeline reliability practices.
  • Work with AI/ML teams to build data platforms supporting AI and analytics use cases.
  • Contribute to technical architecture and mentor junior engineers.
  • Collaborate with global clients and cross-functional teams.

Requirements:

  • 8-12 years of experience in Data Engineering / Big Data Engineering.
  • Strong AWS experience - Mandatory.
  • Strong Cloud experience - Mandatory.
  • Strong hands-on Python and SQL.
  • Experience with PySpark / Spark.
  • Strong ETL/ELT and data pipeline development experience.
  • Experience with AWS services such as S3 Glue, EMR, Redshift, Athena, Lambda, Kinesis.
  • Experience with Snowflake / Databricks / Redshift or similar data platforms.
  • Strong understanding of data modelling and distributed systems.
  • Experience with CI/CD and DevOps practices.
  • Strong communication skills and ability to work with global stakeholders.
  • Comfortable working in the 4:00 PM - 1:00 AM IST shift.
  • Good to have: Palantir Foundry, Kafka, Airflow, Docker/Kubernetes, Terraform, MLOps/AI data pipelines.
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