Software Development Engineer 3

Were looking for an exceptional SDE III Data Engineer who can architect, build, and lead high-impact data systems at scale and is hands on in Java & Python both.

Role Overview

As an SDE III Data Engineering, you will take end-to-end ownership of Flyin’s data infrastructure and real-time pipelines. You’ll design and implement robust, scalable data systems while mentoring engineers, driving technical excellence, and collaborating with cross-functional leaders. This is a high-impact, senior individual contributor role that requires technical depth, architectural thinking, and strong leadership.

Key Responsibilities

Data Engineering & Architecture

• Design, build, and optimize

  large-scale data pipelines, batch and streaming, using

  Apache Spark, PySpark, and Apache Spark Streaming.

• Architect and manage data lake and data warehouse systems

• Build high-performance, low-latency ingestion systems for real-time analytics.

• Ensure reliability, scalability, and performance of data pipelines and distributed systems.

Engineering Excellence

• Write clean, efficient, high-quality code using

  Java

  and

  Python.

• Optimize SQL and data models across

  MySQL and other relational databases.

• Own and drive CI/CD workflows for automated deployment and testing of data services.

Cloud & Infrastructure

• Build and manage data infrastructure on cloud platforms (AWS, GCP, or Azure).

• Implement best practices for data governance, security, lineage, and observability.

• Manage large-scale storage, compute clusters, and distributed data systems.

Leadership & Collaboration

• Lead technical initiatives across teams, working closely with Product, Analytics, and Engineering stakeholders.

• Mentor junior engineers and contribute to Flyin’s engineering culture.

• Break down complex requirements into clear, actionable technical plans.

• Drive ownership, accountability, and engineering excellence across the team.

Required Skills & Experience

• 4-7 years of experience in

  Data Engineering

  with strong big data fundamentals.

• Proficient in

  Java

  and

  Python

  for backend and data development.

• Strong expertise in

  PySpark, Apache Spark, Spark Streaming.

• Hands-on experience with

  Apache Iceberg, Apache Pinot, Presto

  (any two is acceptable).

• Deep knowledge of SQL, relational databases (MySQL preferred), and distributed systems.

• Experience designing and managing cloud-native data infrastructure (AWS/GCP/Azure).

• Strong experience with

  CI/CD pipelines, Git, and DevOps tooling.

• Strong understanding of data modeling, ETL/ELT frameworks, and data quality.

• Proven ability to lead cross-functional technical initiatives.

• Experience mentoring engineers or leading small teams/projects.

Preferred Qualifications

• Experience working in high-traffic, real-time consumer products (travel, e-commerce, fintech).

• Knowledge of streaming frameworks like

  Flink

  is a plus.

• Experience with open-source data lake technologies and query engines.

• Exposure to ML data pipelines is a plus.