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Luxoft
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Cloud Data Engineer

Cloud Data Engineer

Luxoft

8 - 13 years

13 - 17 Lacs

bengaluru

Posted:12 hours ago| Platform:

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Skills Required

python aws iam sql stakeholder management aws continuous integration kubernetes github glue amazon redshift airflow ci/cd power bi serverless emr amazon rds docker microservices tableau postgresql kafka jenkins hadoop data visualization

Work Mode

Work from Office

Job Type

Full Time

Job Description

Project description
Support one of the top Australian banks as they seek to modernise their data and analytics platform.You will be working directly with IT and business stakeholders in Data and Platform team to implement banks data strategy to become the best AI bank of the world.

Responsibilities

Create technology blueprints and engineering roadmaps for multi-year data transformational programs.

knowledgeable of architectural patterns, cloud-native solutions on AWS, microservices architecture, solutions integration, and containerisation.

Extensive knowledge of AWS services, particularly those related to data storage and processing, including S3, RDS, Redshift, DataZone, and Glue.

Expert in the data development lifecycle, with a focus on data ingestion processes, data transformation pipelines, data integration, and visualisation.

Excellent stakeholder management skills and 'Can-do' attitude.

Skills
Must have

8+ years of hands-on experience as AWS Platform Engineer

Hands-on experience in AWS compute and services, including EC2 and experience building data technology stack, including Hadoop/EMR Serverless, Glue, Redshift, Airflow, Aurora PostgreSQL

Worked on event-driven architecture using Apache Kafka, AWS Kinesis, or similar. Infrastructure as code using CloudFormation or Terraform

Proficient in Python, SQL

Building CI/CD tooling (Github/Jenkins) Nice to have

AWS Solution Architect certification

Containerisation (Docker, Kubernetes)

Data visualisation tools and integration to Tableau, PowerBI

Alation

Observability tools (i.e., Observe, Splunk, or Prometheus/Grafana).

Ab initio or DBT tooling

Experience with Parquet File Format, Iceberg tables

Glue Data Catalogue & AWS DataZone

Markets domain knowledge

Experience dealing with complex hierarchical datasets such as those used to represent financial products in the likes of Murex/MRE/Wallstreet

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Cloud Data Engineer