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Data Engineers

1 month ago

Gurgaon, Haryana, India ScaleneWorks Full time

Roles and Responsibilities ? Collaborates with business teams to improve data models that feed
business intelligence tools, increasing data accessibility, and fostering
data-driven 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 cross-functional teams to deliver data
solutions that meet business needs and drive strategic objectives
Qualification ? Bachelor?s 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 non-technical
stakeholders.
? Good to have knowledge on DataBricks, Python, PySpark
Benefits:
? Competitive salary packages with performance-based bonuses.
? Comprehensive health and wellness benefits.
? Opportunities for career advancement and development in the cutting-edge 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