3 Capgemini Abinitio Developer Jobs

 

About The Role : 

Ab Initio Skills:Graph Development, Ab Initio standard environment parameters, GD(PDL,MFS Concepts)E, EME basics, SDLC, Data Analysis

Database:SQL Proficient, DB Load / Unload Utilities expert, relevant experience in Oracle, DB2, Teradata (Preferred)

UNIX:Shell Scripting (must), Unix utilities like sed, awk, perl, python

Scheduling knowledge (Control M, Autosys, Maestro, TWS, ESP)

Project Profiles:Atleast 2-3 Source Systems, Multiple Targets, simple business transformations with daily, monthly

Expected to produce LLD, work with testers, work with PMO and develop graphs, schedules, 3rd level support

Should have hands on development experience with various Ab Initio components such as Rollup Scan, join Partition, by key Partition, by Round Robin. Gather, Merge, Interleave Lookup etc

Experience in finance and ideally capital markets products.

Requires experience in development and support of complex frameworks to handle multiple data ingestion patterns.e.g, messaging files,hierarchical polymorphic xml structures conformance of data to a canonical model curation and distribution of data QA Resource.

Data modeling experience creating CDMs LDMs PDMs using tools like ERWIN, Power designer or MagicDraw.

Detailed knowledge of the capital markets including derivatives products IRS CDS Options structured products and Fixed Income products.

Knowledge on Jenkins and CICD concepts. Knowledge on scheduling tool like Autosys and Control Center.

Demonstrated understanding of how AbInitio applications and systems interact with the underlying hardware ecosystem.

Experience working in an agile project development lifecycle.

Strong in depth knowledge of databases and database concepts DB2 knowledge is a plus



 

Primary Skills 

Abinitio

Graphs

 Secondary Skills 

SQL

 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