Capgemini Job opening for AZURE DATA ENGINEERING Apply Now
Job Description
- Experience with Azure Data Bricks, Data Factory
- Experience with Azure Data components such as Azure SQL Database, Azure SQL Warehouse, SYNAPSE Analytics
- Experience in Python/spark/Scala/hive Programming
- Experience with Azure Databricks/ADB
- Experience with building CI/CD pipelines in Data environments
- Experience in Strong Azure architecture and integration experience from analysis, design and implementation perspective
- Cloud Architect having experience in providing cloud solutions preferable in AWS and Azure
- Develop, organize cloud system and have implementation experience in AWS / Azure
- Respond to technical issues in a professional and timely manner
- Offer guidance and provide solutions on Microservices and Cloud native architectures, Application and Platform Engineering
- Identify the top cloud architecture solutions to successfully meet the strategic needs of the company
- Experience in solutioning Microsoft technologies and New age Front end architectures
- Capable of solutioning in and expert in more than one of specializations below: AWS /Azure Cloud Services/ Containers and Container orchestration using Docker Kubernetes (OpenShift / AKS) Cloud Native Architectures /Github Solution/ DevOps/ Micro Service Architecture.
Primary Skill
- ADF (Azure Data Factory) OR
- ADB (Azure Data Bricks)
Secondary Skill
Ab Initio
Agile (Software Development Framework)
Apache Hadoop
AWS Airflow
AWS Athena
AWS Code Pipeline
AWS EFS
AWS EMR
AWS Redshift
AWS S3
Azure ADLS Gen2
Azure Data Factory
Azure Data Lake Storage
Azure Databricks
Azure Event Hub
Azure Stream Analytics
Azure Sunapse
Bitbucket
Change Management
Client Centricity
Collaboration
Continuous Integration and Continuous Delivery (CI/CD)
Data Architecture Patterns
Data Format Analysis
Data Governance
Data Modeling
Data Validation
Data Vault Modeling
Database Schema Design
Decision-Making
DevOps
Dimensional Modeling
GCP Big Table
GCP BigQuery
GCP Cloud Storage
GCP DataFlow
GCP DataProc
Git
Google Big Tabel
Google Data Proc
Greenplum
HQL
IBM Data Stage
IBM DB2
Industry Standard Data Modeling (FSLDM)
Industry Standard Data Modeling (IBM FSDM))
Influencing
Informatica IICS
Inmon methodology
JavaScript
Jenkins
Kimball
Linux – Redhat
Negotiation
Netezza
NewSQL
Oracle Exadata
Performance Tuning
Perl
Platform Update Management
Project Management
PySpark
Python
R
RDD Optimization
SantOs
SaS
Scala Spark
Shell Script
Snowflake
SPARK
SPARK Code Optimization
SQL
Stakeholder Management
Sun Solaris
Synapse
Talend
Teradata
Time Management
Ubuntu
Vendor Management
Apply Here
https://chat.whatsapp.com/DO9PMPj2H3K4SikyHri52x
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