Talend

2 weeks ago

Chennai Tamil Nadu, India Capgemini Full time

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

**Job Description - Grade Specific**:

- The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effectively to drive business outcomes.

**Skills (competencies)**:

- Industry Standard Data Modeling (FSLDM)
- Ab Initio
- Industry Standard Data Modeling (IBM FSDM))
- Agile (Software Development Framework)
- Influencing
- Apache Hadoop
- Informatica IICS
- AWS Airflow
- Inmon methodology
- AWS Athena
- JavaScript
- AWS Code Pipeline
- Jenkins
- AWS EFS
- Kimball
- AWS EMR
- Linux - Redhat
- AWS Redshift
- Negotiation
- AWS S3
- Netezza
- Azure ADLS Gen2
- NewSQL
- Azure Data Factory
- Oracle Exadata
- Azure Data Lake Storage
- Performance Tuning
- Azure Databricks
- Perl
- Azure Event Hub
- Platform Update Management
- Azure Stream Analytics
- Project Management
- Azure Sunapse
- PySpark
- Bitbucket
- Python
- Change Management
- R
- Client Centricity
- RDD Optimization
- Collaboration
- SantOs
- Continuous Integration and Continuous Delivery (CI/CD)
- SaS
- Data Architecture Patterns
- Scala Spark
- Data Format Analysis
- Shell Script
- Data Governance
- Snowflake
- Data Modeling
- SPARK
- Data Validation
- SPARK Code Optimization
- Data Vault Modeling
- SQL
- Database Schema Design
- Stakeholder Management
- Decision-Making
- Sun Solaris
- DevOps
- Synapse
- Dimensional Modeling
- Talend
- GCP Big Table
- Teradata
- GCP BigQuery
- Time Management
- GCP Cloud Storage
- Ubuntu
- GCP DataFlow
- Vendor Management
- GCP DataProc
- Git
- Google Big Tabel
- Google Data Proc
- Greenplum
- HQL
- IBM Data Stage
- IBM DB2

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