Senior Data Engineer
Ebizon
Contract
Remote
India
Senior Jobs
We are looking for Data Architect/ Senior Data Engineer to join our team.
Responsibilities:
Design and drive end to end data and analytics solution architecture from conceptto
delivery
Design, develop, and support conceptual/logical/physical data models for analytics
solutions.
Ensures that industry-accepted data architecture principles,standards, guidelines and
concepts are integrated with those of allied disciplines and coordinated roll-out and
adoption strategies are in place.
Drive the design,sizing,setup, etc. of Azure environments and related services
Provide mentoring on data architecture design and requirementsto development and
business teams
Reviews the solution requirements and architecture to ensure selection of appropriate
technology, efficient use ofresources and integration of multiple systems and technology.
Advising on new technology trends and possible adoption to maintain competitive
advantage
Participate in pre-sales activities and publish thoughtleaderships
Work closely with the founders to drive the technology strategy for the organization
Help and lead technology team recruitmentsin various areas of data analytics
Experience Needed:
8+ years of experience. Demonstrated experience delivering multiple data solutions
Demonstrated experience with ETL development both on-premises and in the cloud using
SSIS, Data Factory, and related Microsoft and other ETL technologies.
Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HD Insights,
Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.
Demonstrated experience with different data models like normalized, de- normalized, stars,
and snowflake models. Worked with transactional, temporal, timeseries, and structured
and unstructured data.
Data Quality Management (Microsoft DQS and other data quality and governance tools) and
Data Architecture standardization experience
Deep understanding of the operational dependencies of applications, networks, systems,
security and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express
Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Advanced study / knowledge in the field of computer science or software engineering along
with advanced knowledge of software development and methodologies (Microsoft
development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).
Is familiar with the principles and practices involved in development and maintenance of
software solutions and architectures and in-service delivery (Microsoft and Azure DevOps.
Azure Automation).
Has strong technical background and remains evergreen with technology and industry
developments
Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up new
languages and tech on the go.
Responsibilities:
Design and drive end to end data and analytics solution architecture from conceptto
delivery
Design, develop, and support conceptual/logical/physical data models for analytics
solutions.
Ensures that industry-accepted data architecture principles,standards, guidelines and
concepts are integrated with those of allied disciplines and coordinated roll-out and
adoption strategies are in place.
Drive the design,sizing,setup, etc. of Azure environments and related services
Provide mentoring on data architecture design and requirementsto development and
business teams
Reviews the solution requirements and architecture to ensure selection of appropriate
technology, efficient use ofresources and integration of multiple systems and technology.
Advising on new technology trends and possible adoption to maintain competitive
advantage
Participate in pre-sales activities and publish thoughtleaderships
Work closely with the founders to drive the technology strategy for the organization
Help and lead technology team recruitmentsin various areas of data analytics
Experience Needed:
8+ years of experience. Demonstrated experience delivering multiple data solutions
Demonstrated experience with ETL development both on-premises and in the cloud using
SSIS, Data Factory, and related Microsoft and other ETL technologies.
Demonstrated in depth skills with SQL Server, Azure Synapse, Azure Databricks, HD Insights,
Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.
Demonstrated experience with different data models like normalized, de- normalized, stars,
and snowflake models. Worked with transactional, temporal, timeseries, and structured
and unstructured data.
Data Quality Management (Microsoft DQS and other data quality and governance tools) and
Data Architecture standardization experience
Deep understanding of the operational dependencies of applications, networks, systems,
security and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express
Route), Active Directory, Storage (Blob, etc.), Windows/Linux).
Advanced study / knowledge in the field of computer science or software engineering along
with advanced knowledge of software development and methodologies (Microsoft
development lifecycle including OOP principles, Visual Studio, SDKs, PowerShell, CLI).
Is familiar with the principles and practices involved in development and maintenance of
software solutions and architectures and in-service delivery (Microsoft and Azure DevOps.
Azure Automation).
Has strong technical background and remains evergreen with technology and industry
developments
Hands-on expertise and willingness to code in Spark, Python, SQL, ability to pick up new
languages and tech on the go.