ob description
Design, develop, and maintain robust and scalable data pipelines that ingest, transform, and load data from various sources into data warehouse.
Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
Implement data quality checks and monitoring to ensure data accuracy and integrity.
Optimize data pipelines for performance and efficiency.
Troubleshoot and resolve data pipeline issues.
Stay up-to-date with emerging technologies and trends in data engineering.

Qualifications
Bachelor s or Master s degree in Computer Science, Engineering, or a related field.
7+ years of experience in data engineering or a similar role.




Robust proficiency in SQL and at least one programming language (e.g., Python, Java).
Experience with data pipeline tools and frameworks
Experience with cloud-based data warehousing solutions (Snowflake).
Experience with AWS Kinesis, SNS, SQS
Excellent problem-solving and analytical skills.
Solid communication and interpersonal skills.

Desired Skills & Experience:
Data pipeline architecture
Data warehousing
ETL (Extract, Transform, Load)
Data modeling
SQL
Python or Java or Go
Cloud computing
Business intelligence

📌 Lead Engineer Data Engineer Bengaluru
🏢 Velotio Technologies
📍 Bengaluru