Data Engineer I
Netomi, Inc. (company site, opens in a new tab)2+ yrsRemoteDirect career pageEst. 10–18 LPA
Posted on 21 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable and secure data pipelines using modern data platforms like Spark, Databricks, Airflow, and Snowflake.
- Develop ETL/ELT processes for ingesting structured and unstructured data sources and perform exploratory data analysis to support data product development and business decisions.
- Collaborate with data scientists, analysts, and engineers in designing data models and ensure reliability by writing clean, tested Python code with ownership of end-to-end feature delivery.
Minimum Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- Minimum 2 years of experience in data engineering or backend software development.
- Proficiency in Python, SQL, relational databases (RDS, MySQL, PostgreSQL), and experience with data pipeline orchestration tools (e.g., Apache Airflow).
- Experience with cloud data platforms such as AWS Redshift, GCP BigQuery, Snowflake, or Databricks; familiarity with Apache Kafka or RabbitMQ for asynchronous systems.
Ideal Candidate Profile
- Experienced in distributed systems, data modeling, and data warehousing with ability to build scalable data infrastructure.
- Comfortable working in agile, collaborative environments integrating with data science and software engineering teams.
- Experience or interest in DevOps practices (CI/CD, containerization), data security/privacy regulations, and exposure to AI/ML data solutions or large language model integrations.