Data Engineer II
Netomi, Inc. (company site, opens in a new tab)4+ yrsRemoteDirect career pageEst. 12–25 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, secure, and reliable data pipelines using platforms like Spark, Databricks, Airflow, and Snowflake.
- Develop ETL/ELT processes to ingest data from various structured and unstructured sources, enabling high-quality analytics and real-time insights.
- Collaborate with data scientists, analysts, and engineers to create data models and ensure reliable feature delivery in an agile environment, including writing maintainable Python code with tests.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 4+ years of hands-on experience in data engineering or backend software development.
- Proficiency in Python, SQL, and experience with data pipeline orchestration tools such as Apache Airflow, Luigi, or Prefect.
- Experience with relational databases (RDS, MySQL, PostgreSQL), message queues (Apache Kafka or RabbitMQ), and cloud data platforms (AWS Redshift, GCP BigQuery, Snowflake, Databricks).
Ideal Candidate Profile
- Experienced in designing and operating distributed data systems and data warehouses with strong data modeling expertise.
- Comfortable collaborating across functions including data science and software engineering, and working in agile teams responsible for end-to-end product delivery.
- Familiar with asynchronous messaging systems and DevOps practices like CI/CD and containerization, and ideally interested in AI/ML data integration.