Junior Data Engineer

About This Role

Hiringhood is conducting a special Phygital Matchday event on November 14th, 2026, exclusively for experienced Data Engineers with 2-4 years of experience. The goal is to connect you directly with opportunities across multiple Global Capability Centres (GCCs) and leading Indian product companies.

Your Responsibilities

• Design and maintain scalable data pipelines for ingestion, transformation, and processing using Python, SQL, PySpark, and Apache Spark.
• Build robust ETL/ELT workflows to integrate diverse data sources efficiently.
• Implement comprehensive data quality checks, validation protocols, monitoring tools, and error-handling mechanisms.
• Optimize pipeline performance for maximum scalability and reliability on cloud platforms like AWS, Azure, or GCP.
• Collaborate closely with cross-functional teams including Data Scientists, Analysts, Software Engineers, and Business stakeholders.

Mandatory Requirements

• Experience: 2-4 years in Data Engineering.
• Tech Stack: Strong proficiency in Python and SQL; hands-on experience with ETL/ELT pipelines.
• Cloud Platforms: Proven experience with at least one major cloud provider (AWS, Azure, or GCP).
• Databases: Familiarity with PostgreSQL, MySQL, SQL Server, etc.
• Tools & Practices: Knowledge of Git version control and CI/CD methodologies; understanding of data security and governance.

Preferred Qualifications

• Familiarity with Delta Lake and lakehouse architecture patterns.
• Experience deploying pipelines using Docker.

Hiring Process & Important Notes

This role is part of a Phygital Matchday, meaning it requires in-person attendance at Hyderabad on Nov 14th, 2026. The selection process includes:

1. In-person registration for the Data Engineer opportunity.
2. Mandatory Preliminary Online MCQ assessment (qualification required to attend).
3. In-Person Technical Assessment including coding tests and AI interviews at the Hyderabad venue on Nov 14th, 2026.
4. Employer shortlisting based on technical performance and role fit.

Note: In-person attendance is mandatory for qualified candidates. Completing assessments does not guarantee an offer.