Senior Data Engineer

Description

Velotio Technologies

Requirements

• 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

• More than 3 years of experience in data engineering with Bachelors or Masters degree in Computer Science, Engineering, or a related field.
• Hands on experience with Streaming Analytics, Spark, Medallion Architecture, Data Connector Development, Data Modelling.
• Strong 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.
• Strong communication and interpersonal skills.

Desired Skills & Experience:

• Data pipeline architecture
• Data warehousing
• ETL (Extract, Transform, Load)
• Data modeling
• Python
• Cloud computing

Benefits

Our Culture

• We have an autonomous and empowered work culture encouraging individuals to take ownership and grow quickly
• Flat hierarchy with fast decision making and a startup-oriented get things done culture
• A strong, fun & positive environment with regular celebrations of our success. We pride ourselves in creating an inclusive, diverse & authentic environment