We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior Engineer (AWS Data Engineer) at Velotio Technologies. 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.. . 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.. . Company Location: India.