Senior/Mid/Junior Data Engineer Face To Face Interview HYD screening
Summary
Data engineer (junior to senior, 3-8 yrs) designing and optimizing scalable data pipelines, ETL/ELT workflows, and warehouses/lakes/lakehouses using Python, SQL, PySpark, and Spark on AWS, Azure, or GCP. Hiring via a face-to-face screening event in Hyderabad for GCCs and Indian product companies.
Hiringhood is conducting a Phygital Matchday in Hyderabad for Data Engineer opportunities across GCCs and Indian product companies. The role focuses on building scalable data pipelines, ET
L/ELT workflows, and cloud-based data processing solutions using Python, SQL, Spark, and modern data engineering tools.
Design, develop, and maintain scalable data pipelines
Build and optimize ETL/ELT workflows
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 data pipelines for performance, scalability, and reliability
Work with cloud data engineering services on AWS, Azure, or GCP
Collaborate with cross-functional teams
Follow best practices for data security, governance, documentation, and version control