Data Engineer I

🕒 September 21

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 14%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netomi

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

💰 $30M Series B on 2021-11

Consulting • Logistics • Marketing

Netomi is a company that specializes in providing AI-powered customer experience solutions. Their platform, known as Agentic OS, is designed for enterprise-scale customer service and integrates seamlessly with existing business systems. Netomi's solutions leverage generative AI and large language models to automate over 80% of customer inquiries, enhance customer satisfaction, and reduce support costs. Netomi is trusted by global brands across various industries, offering secure, proactive, and predictive customer care through omnichannel support, including email, chat, messaging, SMS, social media, search, and voice. The company ensures compliance with stringent security standards and data protection regulations.

📋 Description

• Architect and implement scalable, secure, and reliable data pipelines using modern data platforms such as Spark, Databricks, Airflow, and Snowflake. • Develop ETL/ELT processes to ingest data from structured and unstructured sources. • Perform Exploratory Data Analysis to uncover trends, validate data integrity, and derive insights for data product development and business decisions. • Collaborate with data scientists, analysts, and software engineers to design data models supporting high-quality analytics and real-time insights. • Write maintainable Python code with comprehensive unit and integration tests. • Own end-to-end feature delivery in an agile, collaborative environment. • Drive complex data and trend analyses with data science, product, engineering, and customer success teams. • Benchmark and measure product operations projects; build and publish scorecards and reports. • Identify and drive new opportunities based on customer and business data. • Contribute to policies, processes, and tools addressing product quality challenges.

🎯 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 roles. • Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL). • Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems. • Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect). • 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. • Familiarity with DevOps practices (CI/CD, infrastructure as code, containerization with Docker/Kubernetes). • Exposure to AI/ML-integrated solutions or interest in working alongside data science teams. • Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA). • Familiarity with prompt engineering and how LLM-based systems interact with data.

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