
Elastic Search Data Engineer
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Office
Location: Hyderabad • India
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About the role
- Design, build, and manage end-to-end data pipelines across the medallion architecture
- Ingest and process raw data using Spark and Amazon EMR for scalable, distributed computation
- Develop and automate data transformations for the base vault using DBT (Data Build Tool) to standardize and model data efficiently
Requirements
- At least 5 years of experience as an Elasticsearch Data Engineer
- Expert knowledge of ELK stack (Elasticsearch, Logstash, and Kibana)
- Java Spring Boot
- IBM ACE Programming
- BS in Computer Science, Data Engineering (Big Data, AWS certification), Data Modeling or similar
- Full English Fluency
- Elasticsearch-cluster optimization, query development, data modeling, performance tuning & administration (4-6 Years)
- Deep experience with Spark, Python and ETLs and Amazon EMR
- Hands-on experience with DBT for data transformation and modeling
- AWS Cloud– Intermediate
- AWS Lambda (Must)
- Step Functions
- Apache Airflow
Benefits
- comprehensive wellness benefits including health checks
- telemedicine
- insurance with top-ups
- elder care
- partner coverage
- new parent support via flexible work
- career paths and internal opportunities within Capgemini group
- personalized career guidance from leaders
- cutting-edge projects in tech and engineering
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesSparkAmazon EMRDBTElasticsearchJava Spring BootIBM ACE ProgrammingPythonETLAWS Lambda
Soft Skills
communication
Certifications
AWS certification