Abinitio Developer | 4 to 10 years | Pune & Chennai

Job Description

• 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