SAP BODS Admin
4 Months ago • 4-14 Years
Software Development & Engineering
Job Description
The job description involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives. 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.
Must Have:
- 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
Job Description
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 involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high-quality data solutions to support the organization's data-driven objectives.
Skills (competencies)
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
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