Data Engineers
Data Engineers
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Job Description
Roles and Responsibilities Collaborates with business teams to improve data models that feed
business intelligence tools increasing data accessibility and fostering
datadriven decision making across the organization.
The Lead Data Engineer will be responsible for designing and
overseeing the implementation of data architectures using Microsoft
Azure services. This role requires deep expertise in Azure data
technologies data modelling and cloud data solutions. The ideal
candidate will work closely with crossfunctional teams to deliver data
solutions that meet business needs and drive strategic objectives
Qualification Bachelors degree in computer science Information Systems Data
Science or a related field. Advanced degree or relevant certifications
(e.g. Microsoft Certified: Azure Data Engineer Associate Microsoft
Certified: Azure Solutions Architect Expert) are a plus.
Snowpro Core Certification (Mandatory)
Experience Skills and
Competencies
Lead the design and implementation of scalable data architectures using
Azure data services including Azure Data Lake Storage Azure SQL
Database Azure Synapse Analytics and Azure Data Factory.
Work closely with data engineers data scientists BI Engineers
business analysts and other stakeholders to understand data
requirements and deliver architecture solutions that align with business
objectives.
Strong background in data modeling and data warehousing concepts
with experience creating logical and physical data models.
Design and manage ETL pipelines and data integration processes
utilizing Azure Data Factory and other relevant tools to ensure seamless
data flow between systems.
Proficiency in SQL and experience with database technologies (e.g.
Oracle SQL Server MySQL PostgreSQL) and data warehousing
solutions (e.g. Snowflake Amazon Redshift Google Big Query).
Deep understanding of cloud computing principles and experience with
Azure cloud infrastructure and services.
Develop and document comprehensive data architecture strategies and
roadmaps to support business objectives and technical requirements.
Excellent verbal and written communication skills with the ability to
convey complex data concepts to both technical and nontechnical
stakeholders.
Good to have knowledge on DataBricks Python PySpark
Benefits:
Competitive salary packages with performancebased bonuses.
Comprehensive health and wellness benefits.
Opportunities for career advancement and development in the cuttingedge Digital Transformation
sector.
A collaborative and inclusive work environment.
Flexible work schedules to help balance personal and professional commitments.
Mentorship opportunities with professionals for career guidance and personal growth.
Recognition and rewards for exceptional contributions.
Opportunity to develop and lead your tea
Remote Work :
No
Employment Type
Full Time
