Data Engineer | 4-6 Years | Hiringhood Phygital Matchday Hyderabad
Experience: 4-6 Years
Employment Type: Full-Time, Permanent
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.

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.
- 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.

4-6 years of relevant Data Engineering experience.

- Strong proficiency in Python and SQL.
- Hands-on experience with ETL/ELT pipeline development.




- Experience with Apache Spark and PySpark.
- Knowledge of data warehousing, data lakes and data modelling.
- Experience with at least one cloud platform: AWS, Azure or GCP .
- Experience with PostgreSQL, MySQL, SQL Server or similar databases.
- Understanding of star and snowflake schemas, fact and dimension tables, and slowly changing dimensions (SCDs).
- Knowledge of data quality, pipeline optimization and performance tuning.
- Database Certification preferred.
- Snowflake Certification preferred.
- Databricks, Snowflake, Microsoft Fabric, BigQuery or Amazon Redshift.
- Parquet and columnar data formats.
- Docker and data pipeline deployment practices.

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

Online Registration: Register for the Data Engineer opportunity.
Preliminary Online MCQ: Complete the initial technical assessment. Complete a technical MCQ, executable coding assessment and TARA AI technical interview.
Participating employers evaluate candidates based on technical performance, experience and role fit. Key: In-person attendance is mandatory for candidates who qualify in the preliminary online assessment. Apply now to participate in Hiringhood Phygital Matchday and explore Data Engineering opportunities across participating organizations.

📌 Mid Data Engineer (AWS) (Secunderabad)
🏢 hiringhood
📍 Secunderabad