Experience level – 12+ years
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
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