Senior Data Engineer

1 day ago

Remote, India Ebizon Full time

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.

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