Data Engineer 3

Amadeus Hospitality; Bengaluru; Hybrid; INR 4,200,000 - 6,500,000; Full time

Job summary

Amadeus Hospitality is seeking a Data Engineer 3 to design, develop, and maintain data pipelines and data products in a hybrid setup in Bengaluru. You will work with product definition analysts, data scientists, data engineers, and architects to ensure reliability, scalability, and performance of data assets.

Key responsibilities include designing and deploying data marts and ETL processes, implementing monitoring and alerting, and continuously improving data systems.

Qualifications

• 8+ years of experience in data engineering.
• Proven ability to design ETL processes.
• Experience with data modeling and data visualization concepts.
• Knowledge of Agile software design (Scrum/Kanban/SAFe).

Responsibilities

• Design, implement, deploy, and maintain data marts and ETL processes (our data assets).
• Ensure reliability, scalability, and performance of our data assets.
• Design and maintain quality indicators with monitoring and alerting.
• Troubleshoot and document issues following Amadeus standards.
• Apply continuous improvement to systems and data-related processes.
• Stay updated with industry standards, security recommendations, and best practices.

Skills

Python/Scala

Spark

Sqoop

Hadoop

Hive

Kafka

Databricks

Snowflake

Azure Synapse

SQL

NoSQL

PL/SQL

BigQuery

Azure

GCP

AWS

Azure DevOps

Azure Repos

Git/GitHub

Bitbucket

Azure certification

Databricks certification

Education

University degree in computer science or related field or relevant experience

Tools

MAPR distribution

Impala

Hadoop ecosystem

Job description

## Data Engineer 3Apply: Hybrid: Bangalore: Full time: Posted Today: End Date: September 23, 2026 (5 days left to apply): R36824**Job Title**Data Engineer 3**Job Description Summary**As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and data products. You will work closely with our product definition analysts, data scientists, data engineers, and architects to ensure the reliability, scalability, and performance of our data assets. **Job Description****Key responsibilities**• Design, implement, deploy, and maintain data marts and ETL processes (our data assets). • Ensure the reliability, scalability, and performance of our data assets. • Design and maintain quality indicators with effective monitoring & alerting. • Troubleshoot and document issues following Amadeus standards. • Apply continuous improvement to systems, processes, and data-related issues. • Stay updated with industry standards, security recommendations, and best practices within the Offer organization.** Mandatory Skills**• Programming Languages: Python or Scala • Big Data Technologies: Apache Spark, Sqoop, Hadoop, Hive, Apache Kafka • Data Platforms: Databricks (preferable), Snowflake, Azure Synapse • Database: SQL, NoSQL, PL/SQL, BigQuery • Cloud Platforms: Azure / GCP / AWS • DevOps Tools: Azure DevOps, Azure Repos, Git/GitHub, Bitbucket• Good to have certifications: Azure and/or Databricks**Qualifications**• Education: University degree in computer science or related field or relevant experience • Overall experience: 8+ Years • Proven track record of experience working in data engineering domain. • Strong experience defining ETL processes. • Experience with data modeling and data visualization concepts and tools. • Knowledge of Software Design under Agile frameworks (Scrum, Kanban, SAFe, ...). • Proven experience on design and maintaining applications using Scala, (Py)Spark, MAPR distribution, Hadoop ecosystem, Kafka, Impala. • Hands-on experience on Microsoft Azure, Databricks.**Other:**• Strong English communication skills (verbal & written). • Strong team player with a collaborative mindset. • Excellent problem-solving and analytical abilities. • Fast, thorough, and autonomous learner with good prioritization skills. • Innovative thinker with a proactive attitude. • Thrives in a multicultural global environment. • Open‐minded and adaptable to multi-cultural team environments. • Flexible to adapt to changing customer-driven project needs. • Ability to think creatively and build productivity‐enhancing tools.