Development and Implement Data Engineering practice (Batch,CDC & Stream) by identifying the capabilities and enhancements to meet client-driven needs, leverage market opportunities, counter competitive threats, and comply with regulatory requirements.
Engaging key stakeholders, to align priorities, and agree tasks necessary for the successful development and deployment of project deliverables.
Lead engagement with Business Analysis and core dev teams to create business requirements documentation to feed into the development process.
Co-ordinate readiness and deployment of new developments with functional partners in Implementations for Datalake, Marketing, BIU, Risk and Compliance
Experience with data integration concepts, Cloud, modern application development methodologies and technologies
ELT - Trino, Azure Data factory, Azure Databricks, PySpark, Python, Iceberg, Parquet
CDC Tool like Qlik/ Golden Gate/Dbsium/IBM CDC, Kafka/ Solace
Scripting – Shell, Python, Java, Good Understanding of Azure Cloud Engineering – ADLS, Iceberg, Databricks, AKS, RHEL  Good understanding of MSProject
Development skill using Trino, PySpark and Databricks
Fundamentals of DevOps, DevSecOps, CD / CI Pipeline using ADO
Good understanding of MPP Architecture, MySQL, RDS, MSSQL DB, Oracle ,Postgres DB

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