Tech Lead

By Lendingkart

Posted on: December 22, 2025

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Tech Lead

1 min read

Quick Summary

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Key Responsibilities:

Design, develop, and maintain end-to-end ETL pipelines for large-scale data processing (GBs to TBs).
Work with Apache Spark and Hadoop to process and transform massive datasets.
Handle structured and semi-structured data stored in Parquet, ORC, and CSV formats.
Write optimized SQL queries with complex joins for efficient data retrieval and transformations.
Utilize Scala, Python, and Java (plus) to implement scalable data engineering solutions.
Implement test-driven development (TDD) using JUnit (for Java) and Python testing frameworks.
Work with Git, GitLab CI/CD, and GitHub Actions for version control and automated deployments.
Manage and deploy data processing applications using Docker, Kubernetes, and Helm.
Collaborate within an Agile development environment, ensuring iterative improvements and quick feature delivery.
Optimize performance, monitor data pipelines, and troubleshoot issues proactively.
Work with Trino (PrestoSQL) for distributed SQL query execution.

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