Data Engineer I
Salary not listed • Remote • Remote - India • Full-time
Posted 1mo ago
Job Location
Remote - India
Tech Stack
Remote Work Policy
Fully remote
Employment Type
Full-time
Categories
Machine Learning Engineer
About the job
Netomi is seeking a highly analytical and detail-oriented candidate to join the Analytics team. As part of the team, you will work with data science, product, engineering, and customer success teams to drive complex data and trend analyses to propose ways to improve and thereby contribute to improving the experience. You will also be responsible for benchmarking and measuring the performance of various product operations projects, building and publishing detailed scorecards and reports, identifying and driving new opportunities based on customer and business data. We are looking for an Engineer with a passion for using data to discover and solve real-world problems. You will enjoy working with rich data sets, modern business intelligence technology, and the ability to see your insights drive the features for our customers. You will also have the opportunity to contribute to the development of policies, processes, and tools to address product quality challenges in collaboration with teams.
Responsibilities
- Architect and implement scalable, secure, and reliable data pipelines using modern data platforms.
- Develop ETL/ELT processes to ingest data from various structured and unstructured sources.
- Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights.
- Collaborate with data scientists, analysts, and software engineers to design data models.
- Write clean, maintainable code with comprehensive unit and integration tests in Python.
- Take ownership of end-to-end feature delivery in an agile environment.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 2+ years of hands-on experience in data engineering or backend software development.
- Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
- Experience with Apache Kafka or RabbitMQ for building asynchronous systems.
- Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow).
- Strong experience with cloud-based data platforms (e.g., AWS Redshift, GCP BigQuery, Snowflake, Databricks).
- Deep understanding of data modeling, data warehousing, and distributed systems.