Back
Tier-1 company, mid-level Data Engineer in Hyderabad with broad required skills yields high competition.
Core data engineering skills are broadly transferable across industries, so background sensitivity is low.
Explicit 5–9 years plus mandatory data stack (SQL, PySpark, Airflow, Databricks, AWS) increases strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Build and optimize AWS and Databricks data pipelines, data lakes, and data warehouses for efficient data ingestion and transformation.
Ensure data integrity, accuracy, and system uptime through quality checks and monitoring of data infrastructure.
Collaborate with cross-functional teams to translate business requirements into scalable technical data solutions.
5 to 9 years of experience in data engineering or related fields.
Proficient in SQL, Python, PySpark, and Airflow for building scalable ETL processes.
Experience managing AWS and Databricks cloud environments.
Bachelor's degree in computer science, engineering, or related field preferred; AWS Certified Data Engineer and Databricks Certification preferred but not mandatory.
Experienced in leveraging cloud platforms (AWS, Databricks) to build performant data infrastructure in large-scale environments.
Strong focus on optimizing data pipelines and query performance for big data analytics.
Experienced working across global, virtual teams translating complex data requirements into production-grade solutions.