Data Engineer

Data Engineer | 4-6 Years | Hiringhood Phygital Matchday Hyderabad

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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 integrating data from multiple sources.

- Develop data processing solutions using Python, SQL and PySpark.

- Work with large datasets using Apache Spark.

- Design and maintain data warehouses, data lakes and lakehouse solutions.

- Implement data quality checks, validation, monitoring and error handling.

- Optimize pipeline performance, scalability and reliability.

- Work with cloud platforms such as AWS, Azure or GCP.

- Collaborate with data scientists, analysts, software engineers and business stakeholders.

- Follow best practices for data security, governance, Git, CI/CD and documentation.

Required Skills

4-6 years

Python and SQL.

ETL/ELT pipeline

Apache Spark and PySpark.

- Knowledge of data warehousing, data lakes and data modelling.

AWS, Azure or GCP

PostgreSQL, MySQL, SQL Server or similar databases.

- Familiarity with Apache Airflow or other workflow orchestration tools.

- Understanding of star and snowflake schemas, fact and dimension tables, and slowly changing dimensions (SCDs).

- Knowledge of data quality, pipeline optimization and performance tuning.

- Familiarity with Git and CI/CD practices.

Good-to-Have Skills

- Database Certification preferred.

- Snowflake Certification preferred.

- Databricks, Snowflake, Microsoft Fabric, BigQuery or Amazon Redshift.

- Parquet and columnar data formats.

- Kafka or other streaming technologies.

- Delta Lake and lakehouse architecture.

- 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:

2. Preliminary Online MCQ:

3. In-Person Technical Assessment Hyderabad, 31 October 2026:

4. Employer Shortlisting:

Important:

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