Aws Data Engineer

4 weeks ago

Pune, India Velotio Technologies Full time

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

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