* Assist in designing and implementing scalable and robust processes for
ingesting and transforming complex datasets.
* Designs, develops, constructs, maintains and supports data pipelines for ETL
from a multitude of sources.
* Creates blueprints for data management systems to centralize, protect,
and maintain data sources.
* Focused on data stewardship and curation, the data engineer enables the data
scientist to run their models and analyses to achieve the desired business
outcomes
* Ingest large, complex data sets that meet functional and non-functional
requirements.
* Enable the business to solve the problem of working with large volumes of
data in diverse formats, and in doing so, enable innovative solutions.
* Design and build bulk and delta data lift patterns for optimal extraction,
transformation, and loading of data.
* Supports the organisation’s cloud strategy and aligns to the
data architecture and governance including the implementation of these data
governance practices.
* Engineer data in the appropriate formats for downstream customers, risk and
product analytics or enterprise applications.
* Assist in identifying, designing and implementing robust process improvement
activities to drive efficiency and automation for greater scalability. This
includes looking at current solutions and new ways of working and being on the
forefront of emerging technologies.
* Work with various stakeholders across the organization to understand data
requirements and apply technical knowledge of data management to solve key
business problems.
* Provide support in the operational environment with all relevant support
teams for data services.
* Provide input into the management of demand across the various data streams
and use cases.
* Create and maintain functional requirements and system specifications in
support of data architecture and detailed design specifications for current
and future designs.
* Support test and deployment of new
📌 Data Engineer (Hyderabad)
🏢 Zensar
📍 Hyderabad
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