Junior Data Engineer

Hiringhood; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Hiringhood Phygital Matchday in Hyderabad seeks a Data Engineer with 2–4 years of experience to join a program connecting GCCs and Indian product companies.

You will design scalable data pipelines, work with Python/SQL, ETL/ELT, and cloud platforms, and collaborate across data science, analytics, and software teams while following security and governance practices.

Qualifications

• Hands-on experience building scalable, production-grade data pipelines.
• Proficient in Python and SQL for ETL/ELT development.
• Experience with at least one cloud platform (AWS, Azure or GCP).

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and processing.
• Build and optimize ETL/ELT workflows from multiple sources.
• Implement data quality checks, validation, monitoring, and error-handling mechanisms.
• Optimize data pipelines for performance, scalability, and reliability.
• Work with cloud data services on AWS, Azure or GCP.
• Collaborate with data scientists, analysts, software engineers, and business teams.
• Follow best practices for data security, governance, documentation, and version control.

Skills

Python

SQL

ETL/ELT

Cloud platforms

Data pipelines

Git & CI/CD

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

Delta Lake

Docker

Job description

Data Engineer | 2-4 Years | Hiringhood Phygital Matchday Hyderabad

Experience: 2-4 Years

Employment Type:Full-Time, Permanent

Location:Hyderabad

Matchday Date:31 October 2026

Job Summary

Hiringhood is conducting a Phygital Matchday to connect experienced Data Engineers with opportunities across 2 Global Capability Centres (GCCs) and 3 Indian product companies.

We are looking for Data Engineers with strong expertise in Python, SQL, PySpark, Apache Spark, ETL/ELT pipelines and cloud data engineering. Candidates should have hands-on experience building scalable, reliable, production-grade data pipelines and modern data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and processing.
• Build and optimize ETL/ELT workflows to integrate data from multiple sources.
• Implement data quality checks, validation, monitoring, and error-handling mechanisms.
• Optimize data pipelines for performance, scalability, and reliability.
• Work with cloud-based data engineering services on AWS, Azure, or Google Cloud Platform.
• Collaborate with data scientists, analysts, software engineers, and business teams.
• Follow best practices for data security, governance, documentation, and version control.

Required Skills

• 2-4 years of experience in Data Engineering.
• Strong programming skills in Python and SQL.
• Hands-on experience with ETL/ELT pipeline development.
• Experience with at least one cloud platform: AWS, Azure, or GCP.
• Experience with databases such as PostgreSQL, MySQL, SQL Server, or similar.
• Understanding of data quality, pipeline optimization, and performance tuning.
• Familiarity with Git and CI/CD practices.

Preferred Skills

• Experience with Delta Lake and lakehouse architecture.
• Familiarity with Docker and data pipeline deployment practices.

Education

Bachelors or Masters degree in Computer Science, Information Technology, Engineering, or a related field.

Hiringhood Phygital Matchday Selection Process

1. Online Registration: Register for the Data Engineer opportunity.

2. Preliminary Online MCQ: Complete the initial technical assessment. Qualification is mandatory to attend the in-person Matchday.

3. In-Person Technical Assessment Hyderabad, 31 October 2026:Complete a technical MCQ, executable coding assessment and TARA AI technical interview.

4. Employer Shortlisting:Participating employers evaluate candidates based on technical performance, experience and role fit. Additional interview rounds may apply.

Important:

In-person attendance is mandatory for candidates who qualify in the preliminary online assessment. Assessment completion does not guarantee shortlisting or an offer.