Senior Engineer (Python+DE)

16 Hours ago • 6 Years +

Job Summary

Job Description

As a Senior Python Engineer specializing in data engineering, you will lead the development of scalable, cloud-native data and API solutions. This role involves designing backend systems, building modern ETL pipelines, and integrating cloud-based data platforms such as Snowflake. You'll collaborate with teams, mentor junior engineers, and be hands-on in development. This role requires a strong foundation in Python, experience with Snowflake, DBT, data ingestion tools, SQL, and working in agile environments. The ideal candidate will play a critical role in shaping the data infrastructure, collaborating across teams, and mentoring junior engineers while remaining hands-on in development and delivery.
Must have:
  • 6+ years of software engineering experience with Python for API development.
  • Experience with Snowflake or similar cloud data platforms.
  • Hands-on with DBT for data transformation and modeling.
  • Experience with data ingestion tools like Airbyte.
  • Advanced proficiency in SQL and experience with data.
  • Comfortable in agile environments with DevOps and CI/CD.
Good to have:
  • Experience with data governance, lineage, and observability frameworks.
  • Familiarity with data streaming technologies (e.g., Kafka, Kinesis).
  • Knowledge of container orchestration (e.g., ECS, EKS, Docker).
  • Background in mentoring or team leadership roles.
Perks:
  • Autonomous and empowered work culture.
  • Flat hierarchy with fast decision making.
  • Strong, fun & positive environment with regular celebrations.
  • Inclusive, diverse & authentic environment.

Job Details

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 325+ 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 seeking an experienced Senior Python Engineer with a strong foundation in data engineering to lead the development of scalable, cloud-native data and API solutions. This role is ideal for someone who thrives in designing backend systems, building modern ETL pipelines, and integrating cloud-based data platforms like Snowflake.

You will play a critical role in shaping our data infrastructure, collaborating across teams, and mentoring junior engineers while remaining hands-on in development and delivery

  • 6+ years of software engineering experience, with a focus on Python for API development and data processing.
  • Proven experience with Snowflake or similar cloud data platforms.
  • Hands-on with DBT for data transformation and modeling.
  • Experience with data ingestion tools such as Airbyte, Fivetran, or custom connectors.
  • Advanced proficiency in SQL and experience working with structured and semi-structured data.
  • Comfortable working in fast-paced, agile environments with modern DevOps and CI/CD practices.
  • Strong communication skills and a collaborative mindset.

You will enjoy this role if you...

  • Are a geek with a desire to stay ahead of the curve.
  • Like building beautiful well-architected software products with millions of users.
  • Work collaboratively as part of a close-knit team of geeks, architects and leads.

Desired Skills & Experience:

  • Architect and develop scalable Python-based APIs and backend services that interface with internal and external data sources.
  • Design, implement, and maintain complex ETL/ELT pipelines using AirbyteDBT, and custom Python solutions.
  • Lead the development and optimization of data workflows on AWS Cloud services such as Lambda, API Gateway, S3, MSK, ECS, Auto scaling etc.
  • Manage data integrations, transformations, and delivery into Snowflake, ensuring performance, scalability, and reliability. (Data ingestion in snowflake like snowpipe, snowpipe streaming etc)
  • Collaborate with cross-functional teams to understand business needs and translate them into robust technical solutions.
  • Ensure code quality and platform resilience through unit testing, monitoring, and CI/CD pipelines.
  • Act as a technical mentor to junior team members, promoting engineering best practices.
  • Contribute to architectural decisions and technology selection for our evolving data platform.

Bonus points if you...

  • Experience with data governance, lineage, and observability frameworks.
  • Familiarity with data streaming technologies (e.g., Kafka, Kinesis).
  • Knowledge of container orchestration (e.g., ECS, EKS, Docker).
  • Background in mentoring or team leadership roles.

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.

We want to hire smart, curious, and ambitious folks, so please reach out even if you do not have all of the requisite experience. We are looking for engineers with the potential to grow!

At Velotio, we embrace diversity. Inclusion is a priority for us, and we are eager to foster an environment where everyone feels valued. We welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.

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About The Company

Velotio Technologies is a leading product engineering and digital solutions company working with innovative startups and enterprises across the globe. We specialize in Full-Stack development, Web & Mobile App Development, Cloud & DevOps, Data Engineering, AI/ML, UI/UX, and Quality Assurance. Since our inception in 2016, we have worked with over 110 global customers including NASDAQ-listed enterprises, unicorn startups, YCombinator and Sequoia funded companies, and cutting-edge product companies.

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