Highly Skilled Senior Data Engineer

8 hours ago

Coimbatore, Tamil Nadu, India beBeeData Full time US$ 22,00,000 - US$ 25,00,000
Senior Data Engineer for Analytics

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. As a key member of our analytics group, you will be responsible for designing, building, and maintaining large-scale data systems that drive business decisions.

  • Job Description:

In this role, you will work closely with cross-functional teams to develop solutions that leverage cutting-edge technologies such as Python, Streamlit, Snowflake, and AWS. Your expertise in data engineering, architecture, and DevOps will be essential in delivering scalable and efficient data pipelines, APIs, and microservices.

As a Senior Data Engineer, you will be responsible for defining and implementing our data strategy, ensuring data integrity and security, and collaborating with data scientists to deploy models and enable rapid iteration on analytics use cases.

You will also contribute to the development of our technology stack, including the design and implementation of new features, tools, and processes.

If you have a passion for data-driven decision making, are an expert in data engineering, and enjoy working in a fast-paced startup environment, we encourage you to apply.

Responsibilities:

  1. Design and build full-stack applications using Python, Streamlit, and modern web frameworks.
  2. Develop scalable data pipelines to ingest, clean, transform, and serve data from diverse sources into Snowflake and other cloud-native databases.
  3. Implement low-latency, high-availability backend services to support data science, decision intelligence, and interactive visualizations.
  4. Integrate front-end components with backend systems and ensure seamless interaction between UI, APIs, and data layers.
  5. Collaborate with data scientists / ML engineers to deploy models, support experimentation, and enable rapid iteration on analytics use cases.
  6. Define and evolve our data strategy and architecture, including schemas, governance, versioning, and access patterns across business units and use cases.
  7. Implement DevOps best practices, including testing, CI/CD automation, and observability, to improve reliability and reduce technical debt.
  8. Ensure data integrity and privacy through validation, error handling, and secure design.
  9. Contribute to product planning and roadmaps by working with cross-functional teams to estimate scope, propose solutions, and deliver value iteratively.

Required Skills and Qualifications:

  • 5+ years of professional software development experience, with a proven track record of building enterprise-grade, production-ready software applications for businesses or consumers, working in an integrated development team using Agile and Git / GitHub.
  • Required technology experience with the following technologies in a business context:
    • Python as primary programming language (5+ years' experience)
    • Pandas, Numpy, SQL
    • AWS and/or GCP cloud configuration / deployment
    • Git / GitHub
    • Snowflake, and/or Redshift or Big Query
    • Docker
    • Airflow, Prefect or other DAG orchestration technology
    • Front end engineering (e.g., HTML/CSS, JavaScript, and component-based frameworks)

Benefits:

Our company offers a dynamic and supportive work environment, where you can grow professionally and make a meaningful impact on our business.

Why Join Our Team:

We are passionate about leveraging data and technology to drive business growth and improvement. If you share our vision and are excited about the opportunity to contribute to our mission, please apply.

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