Data Engineer

Are you
passionate about turning data into actionable insights? Do you thrive on
designing scalable, high -performance data solutions that power business
decisions? If so, we want you to join our client’s dynamic team as a Data
Engineer!

As a key member
of their data team, you’ll play a pivotal role in shaping the infrastructure
that drives our organization forward. You’ll collaborate with multiple teams,
tackle complex data challenges, and ensure that our data is accurate,
accessible, and ready for analysis.

Key
Responsibilities:

·       Work
with business stakeholders and data analysts to understand data requirements
and design scalable data architectures that meet those needs.

·       Develop
and maintain data pipelines that extract, transform, and load data from various
sources into the data warehouse or data lake.

·       Design
and develop data models and schemas that support efficient querying and
analysis.

·       Develop
and maintain data integration solutions to ensure data consistency and accuracy
across various systems and applications.

·       Ensure
data quality and availability for analysis and reporting by implementing data
validation, cleansing, and enrichment processes.

·       Conduct
performance tuning and optimization of data pipelines and data storage
solutions to ensure optimal performance and scalability.

·       Collaborate
with other teams to integrate data engineering solutions with other systems and
applications.

·       Ensure
that data engineering solutions are secure, compliant, and meet data governance
requirements.

·       Provide
documentation and support for data engineering solutions to ensure that they
are maintainable and scalable.

Requirements

Education
and Experience required:

·       Bachelor’s
degree in Commerce, Computer Science, Data Science, Engineering, or a related
field

·       Minimum
of 5 years of experience in data engineering or a related field

·       Strong
understanding of data warehousing concepts, ETL processes, and data modeling
techniques

·       Experience
with big data technologies

·       Proficient
in SQL and data querying

·       Experience
with cloud -based data storage solutions such as AWS S3 or Azure Blob Storage

·       Experience
with data integration solutions such as Dell Boomi and Azure Data Factory

·       Strong
understanding of SAP BIP architecture, administration, and security

·       Knowledge
of SAP systems such as SAP ERP, SAP BW, and SAP HANA

·       Experience
with integrating SAP BIP with other systems and applications

·       Experience
with SAP BusinessObjects Cloud, SAP Lumira, or SAP Analytics Cloud is a plus
(formerly SQL Data Warehouse)

·       Experience
with Azure data services such as Azure Data Factory, Azure Data Lake, and Azure
Databricks

·       Strong
problem -solving and analytical skills

·       Excellent
communication and collaboration skills

If you’re ready
to take your data engineering career to the next level, apply today and become
part of a team that’s transforming how they work with data!