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Data Engineer - D

Capgemini

Capgemini

Data Science
India
Posted on Dec 24, 2024

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.

  • Should have at least 1 SAP Implementation Project Experience with overall experience of 4+ Years in Syniti ADM .
  • Should be aware of end-end Data Migration processes .
  • Should have knowledge on Functional Domains like SD,P2P,Finance .
  • Should have client facing experience in gathering and understanding Business Requirements.
  • Should have knowledge on User & Wave/Process Area/ Roles Setup in DSP Migrate according to the requirements.
  • Should have Hands on experience on dsp Migrate , Collect , Common, Assemble & Integrate Concepts.
  • Should have Strong Knowledge on SQL Scripts and MS SQL Server .
  • Should have hands on generating Pre-Post Validation Reports using dsp Migrate ADM Tool
  • Should have knowledge on Loading Methodologies like IDOC,BAPI,LSMW & Migration Cockpit.
  • Should have knowledge on psa Transport Concept of Syniti ADM .
  • Should be able to design the framework of Syniti ADM for multiple Projects.

Job Description - Grade Specific

The role involves leading and managing a team of data engineers, defining and executing the data engineering strategy, and ensuring the effective delivery of data solutions. They provide technical expertise, drive innovation, and collaborate with stakeholders to deliver high-quality, scalable, and reliable data infrastructure and solutions.

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