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Junior Data Engineer

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Summary

Data Engineer (2-4 years) hired via Hiringhood's 'Phygital Matchday' event connecting candidates to 2 GCCs and 3 Indian product companies in Hyderabad. Day to day: designing, building and optimizing scalable ETL/ELT data pipelines using Python, SQL, PySpark/Apache Spark and a cloud platform (AWS, Azure or GCP).

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.


Apply now to participate in Hiringhood Phygital Matchday and explore Data Engineering opportunities across participating organizations.




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