Senior Data Engineer
@ Velotio Technologies

Hybrid
Hybrid
Full Time
Posted 19 days ago

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XXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX***** @velotio.com
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Job Details

About the Role - Senior Data Engineer

Velotio Technologies is a product engineering company working with innovative startups and enterprises. Recognized as a Great Place to Work® in India, our team of 450+ elite engineers builds cloud-native, data engineering, B2B SaaS, IoT & Machine Learning products. We have delivered full-stack product development for 110+ startups worldwide.

Key Responsibilities

  • Design, develop, and maintain robust, scalable data pipelines.
  • Collaborate with business stakeholders to translate data requirements.
  • Implement data quality checks and monitoring for accuracy.
  • Optimize data pipelines for performance and efficiency.
  • Troubleshoot and resolve data pipeline issues.
  • Stay updated with emerging technologies in data engineering.

Qualifications

Minimum of 2 years' experience in data engineering with a Bachelor’s or Master’s degree in Computer Science, Engineering or a related field. Proficiency in SQL, Python/Java, and experience with Spark, Streaming Analytics, Medallion Architecture, Data Connector Development and Data Modelling are required. Familiarity with cloud-based data warehousing solutions such as Snowflake and AWS tools (Kinesis, SNS, SQS) is essential.

Desired Skills & Experience

  • Data pipeline architecture and ETL processes.
  • Data warehousing and data modeling.
  • Python and cloud computing.

Our Culture

We pride ourselves on an autonomous, empowered work culture with a flat hierarchy and a startup-oriented approach. Velotio Technologies values diversity and inclusivity, celebrating regular successes in a fun and positive environment.

Key skills/competency

Senior Data Engineer, data pipelines, SQL, Python, Spark, AWS, data warehousing, ETL, data modeling, cloud computing

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How to Get Hired at Velotio Technologies

🎯 Tips for Getting Hired

  • Research Velotio Technologies' culture: Study their mission, values, and recent success stories.
  • Customize your resume: Highlight data pipeline and cloud experience.
  • Prepare for technical interviews: Focus on SQL, Python, Spark, and AWS.
  • Showcase past projects: Demonstrate data engineering successes clearly.

📝 Interview Preparation Advice

Technical Preparation

Review Spark and streaming analytics basics.
Practice SQL and Python integration exercises.
Explore AWS Kinesis and Snowflake documentation.
Study data pipeline performance optimization techniques.

Behavioral Questions

Discuss teamwork during challenging projects.
Explain a time you solved a data issue.
Describe communication with non-technical colleagues.
Share examples of conflict resolution experiences.

Frequently Asked Questions