Aws Data Engineer

About Velotio:

Velotio Technologies is a product engineering company working with innovative startups and enterprises. We are a certified Great Place to Work and recognized as one of the best companies to work for in India. We have provided full-stack product development for 110+ startups across the globe building products in the cloud-native, data engineering, B2B SaaS, IoT & Machine Learning space. Our team of 400+ elite software engineers solves hard technical problems while transforming customer ideas into successful products.

We are looking for a highly skilled Data Engineer with strong expertise in building data pipelines, managing cloud-based data platforms, and deploying scalable data architectures on AWS. The ideal candidate should have hands-on experience with AWS services and must hold a valid AWS certification.

Requirements

• Design, build, and maintain robust, scalable, and efficient data pipelines and ETL/ELT processes on AWS.
• Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions.
• Integrate data from multiple internal and third-party sources into unified data platforms.
• Optimize data lake and data warehouse performance (e.g., S3, Redshift, Glue, Athena).
• Ensure data quality, governance, and lineage using appropriate tools and frameworks.
• Implement CI/CD practices for data pipelines and workflows.
• Monitor and troubleshoot production data pipelines to ensure reliability and accuracy.
• Ensure compliance with data privacy and information security policies.

Qualifications

• 5 years of experience in data engineering or a related role.
• Strong programming skills in Python, PySpark, or Scala.
• Proficient in SQL and working with structured, semi-structured, and unstructured data.
• Solid experience with AWS services such as: S3, Glue, Lambda, Redshift, Athena, Kinesis, Step Functions, CloudFormation, CodeBuild
• Hands-on experience with workflow orchestration tools like Apache Airflow or AWS-native alternatives.
• Must have an active AWS certification (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect).
• Experience with infrastructure as code (IaC) and DevOps practices is a plus.

Desired Skills & Experience:

• Experience with Delta Lake, Parquet, Apache Hudi, or similar formats.
• Exposure to data cataloging and metadata management tools.
• Familiarity with data security frameworks and GDPR/data privacy considerations.
• Experience in client-facing roles and agile delivery environments.

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