Data Engineer 3
Bangalore
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- Python
- Scala
- SQL
- Azure
- Databricks
- Google Cloud (GCP)
- Hadoop
- Hive
- Kafka
- NoSQL
- Snowflake
- Spark
- AWS
- BigQuery
Source — Tool mentions in context
🔒 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:
• 💻 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
Job description
Job Title
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.
Diversity & Inclusion
Amadeus aspires to be a leader in Diversity and Inclusion in the tech industry, enabling every employee to reach their full potential by fostering a culture of belonging and fair treatment, attracting the best talent from all backgrounds, and as a role model for an inclusive employee experience.
Amadeus is an equal opportunity employer and committed to an accessible recruitment process. All qualified applicants will receive consideration for employment without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability or any other characteristics protected by law.
Be aware of recruitment scams
Amadeus Group never charges fees, requests payment, or asks for financial information during recruitment. All legitimate opportunities are communicated solely through official Amadeus channels, including our careers website. Any payment request or outreach via unofficial platforms (e.g., WhatsApp, Telegram) should be treated as fraudulent.
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Source & posting history
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Bangalore
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- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 12
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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