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Netomi
Netomi
51 – 200 Employees
H1B Visa SponsorConsultingLogisticsMarketing
Netomi develops AI-powered customer experience solutions for enterprise customer service teams. Its Agentic OS connects with existing business systems and uses generative AI and large language models to automate routine inquiries, support agents, and improve service across email, chat, messaging, SMS, social media, search, and voice. The company focuses on secure, proactive, and predictive customer care for global brands, with applications spanning consulting, logistics, and marketing. Netomi’s growing team works on enterprise AI, omnichannel support, and automation technology, creating opportunities for people interested in building practical tools for modern customer service.
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Data Engineer I – Netomi (India Remote)

Join Netomi as a Data Engineer I building scalable pipelines and analytics for its enterprise agentic AI customer-experience platform. The role supports data products, real-time insights, and product quality initiatives.

INIndiaRemoteFull-timeJuniorMiddleEnglish RequiredData Engineer
AirflowAmazon RedshiftApacheAWSBigQueryCloudDistributed SystemsDockerETLGoogle Cloud PlatformKafkaKubernetesMySQLPostgresPythonRabbitMQSparkSQL

Description

  • Design and deliver secure, dependable, scalable data pipelines with platforms including Spark, Databricks, Airflow, and Snowflake.
  • Build ETL and ELT workflows that ingest structured and unstructured data.
  • Conduct exploratory data analysis to identify trends, verify data quality, and inform data products and business decisions.
  • Partner with data scientists, analysts, and software engineers to create models for reliable analytics and real-time insights.
  • Develop maintainable Python applications supported by thorough unit and integration testing.
  • Take ownership of feature delivery from start to finish within an agile, collaborative team.
  • Lead complex data and trend analysis with data science, product, engineering, and customer success stakeholders.
  • Evaluate product operations initiatives and create and distribute scorecards and reports.
  • Use customer and business data to uncover and pursue new opportunities.
  • Help develop policies, processes, and tools that address product quality issues.

Requirements

  • Bachelor’s or master’s degree in computer science, engineering, or a related discipline.
  • At least two years of practical experience in data engineering or backend software development.
  • Strong knowledge of relational databases, including RDS, MySQL, and PostgreSQL.
  • Experience using Apache Kafka or RabbitMQ to build asynchronous, decoupled systems.
  • Proficiency in Python and SQL, plus experience with a data pipeline orchestration tool such as Apache Airflow, Luigi, or Prefect.
  • Substantial experience with cloud data platforms such as AWS Redshift, GCP BigQuery, Snowflake, or Databricks.
  • Strong command of data modeling, data warehousing, and distributed systems.
  • Working familiarity with DevOps practices, including CI/CD, infrastructure as code, and Docker or Kubernetes containerization.
  • Exposure to AI/ML-enabled solutions or an interest in collaborating with data science teams.
  • Knowledge of data security and privacy requirements such as GDPR and HIPAA.
  • Familiarity with prompt engineering and the way LLM-based systems use and interact with data.

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