Description

Role Overview:

• We are looking for an experienced ETL Modernization Lead to drive largescale data transformation initiatives involving migration from legacy ETL platforms Informatica PowerCenter to modern cloud native data engineering frameworks Python PySpark AWS Databricks
• This role will be responsible for solution architecture onsite client engagement delivery leadership and modernization strategy execution working closely with business stakeholders and offshore engineering teams

Mandatory Skills : Apache Airflow, AWS Glue, Databricks, PySpark-Data Science, Python & Data Lakehouse.

Strong hands on with below :

• Python Py Spark
• SQL Data Modelling
• Experience with cloud platforms
• AWS S3 Glue Redshift or equivalent
• Databricks Snowflake preferred

 Strong understanding of:

• Data pipelines
• Batch streaming architectures
• Strong experience in ETL tools Informatica PowerCenter or similar
• Data warehousing concepts
• Architecture Design
• Proven experience in data architecture and solution design
• Experience in data modernization migration programs
• Knowledge of metadata management and data governance tools eg Collibra
• Leadership Delivery
• Experience managing onsite offshore delivery models
• Strong experience in client facing roles
• Ability to lead largescale programs across multiple workstreams

 Preferred Experience:

• Experience in Capital Markets Financial Services domain

 Exposure to:

• Data quality frameworks
• AIML based data solutions
• Agile Scaled Agile delivery models

Experience in building modern data platforms BI COE initiatives

Key Skills

Education

Any Graduate