• Demonstrate lead level capabilities in conceptual analysis,
problem solving, and data analysis. Demonstrate ability to take ownership or
initiatives or projects with the ability to lead and facilitate business
requirements and harness data to meet the requirements.
• Must be able to collaborate with subject matter experts,
business analysts, data analysts and other data stakeholders for data
integration and alignment.
• Provides support in the use of enterprise data, including
guidance in understanding and exploitation of the underlying data and
business models, and identifying optimal data sourcing and mapping.
• Assists in developing and publishing data management
standards, policies and procedures, including the management and maintenance
of related tools and environments.
• Create and review standard data deliverables, ensuring
adherence to defined corporate standards and definitions.
• Demonstrate ability to understand, produce, and extend
large and complex data models for operational and dimensional reporting data
stores.
• Experience coordinating information requirements of
multiple departments, including assessment of usefulness, reliability and
cleanliness of data from several sources.
* Ability to effectively present complex
technical information to non-technical audiences and to senior
decision-makers
Expertise and Experience:
· 4 – 8 years of experience in established data
technologies viz. Data
ingestion, ETL, and data warehouse, CDC and Event Streaming technologies.
· Solid hands on experience in AWS cloud services for data management and
governance.
· Develop pipelines to ingest data from different sources such as
Database, delimited files etc, do complex transformation and loading data
into the S3.
· develop Glue mapping and create Glue data catalogue.
· Hands on experience in design and implementation of data
pipelines, ETL and data wa