Back
Metro location, generalist senior data title, 5+ years, and broad cloud/Databricks skillset increase competition.
Core data engineering skills (PySpark, SQL, cloud) are highly transferable across industries.
Explicit 5+ years plus many mandatory technologies (Databricks, PySpark, cloud, testing) increases filter rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable cloud-based data infrastructure and pipelines using SQL and PySpark.
Collaborate with cross-functional and global teams to deliver strategic data engineering solutions involving data lakes, warehouses, and analytical platforms.
Troubleshoot, optimize data pipelines and document ETL processes ensuring data quality and system performance.
Bachelor's degree in Computer Science, Data Engineering, or related field; Master's preferred.
Minimum 5+ years experience in data engineering or full-stack development focused on cloud environments.
Strong expertise with Python, SQL, PySpark, Databricks, and cloud platforms (AWS, Azure, or GCP).
On-site in Bengaluru, KA location required.
Experienced individual contributor comfortable operating in a global, cross-regional enterprise data environment.
Proven technical proficiency in large-scale data projects with strong skills in real-time data validation and automation testing.
Familiar with CI/CD processes and advanced data pipeline design, plus ability to adapt rapidly to emerging AI and cloud data technologies.