Controls Engineering Support

About The Position Tech Leads - Azure / Microsoft Fabric Department: Sales and Delivery Team - Empower Industry: Information Technology & Services, Computer Software, Management Consulting Location: WFH/ United States Remote Experience Range : 8 - 15 years Basic Qualification: Bachelor of Engineering or Equivalent Travel Requirements: Not required Website : OpenKyber, a cutting-edge digital transformation consultancy, and is looking for top talent in Data Engineering space with specific skills in Azure / Microsoft Fabric to join our global delivery team's Data Engineering practice in India.

What's the Role? Full-time job to work with OpenKyber's clients to design, develop and maintain large scale data engineering solutions. The right candidates will also get a chance to work across the entire data landscape apart from data engineering including Data Governance & Reporting & Visualization. The role will provide an opportunity to work closely with client stakeholders to capture the requirements, design and implement end to end data analytics solutions.

Criteria for the Role! Have a minimum of 8 years' experience in Data management, Data engineering & Data governance space At least 5 years in a hands-on role using Azure services relevant to data engineering & Analytics and worked on at least 1 project on Microsoft Fabric Should have worked on large data initiatives and should have exposure to cloud hosted DWH & Data lakes Education Qualification - Bachelor of Science (preferably in Computer and Information Sciences or Business Information Technology) or an Engineering degree in the above areas

Requirements Key Responsibilities:

Work with business stakeholders to gather and analyze business requirements, building a solid understanding of the Data Analytics and Data Governance domain

Document, discuss and resolve business, data and reporting issues within the team, across functional teams, and with business stakeholders

Should be able to work independently and come up with solution design

Build optimized data processing solutions using the given toolset

Provide hands on technical leadership and work on multiple projects if required

Design pipelines to ingest & integrate structured/semi structured and unstructured data from heterogeneous sources

Collaborate with delivery leadership to deliver projects on time adhering to the quality standards

Contribute to talent recruitment, competency building and providing mentor-ship to junior resources for these skills

Mandatory Skills:

Strong DWH and ETL conceptual knowledge

Experience using various components of Microsoft Fabric for storage, Data ingestion and processing, Data governance & reporting

Design data solutions and data models using Onelake to support DWH, Data Lake and Lakehouse architecture

Data ingestion for batch & streaming data using Data Factory/ Fabric & Databricks

Orchestration of data ingestion pipelines using Data Factory or other Azure services

Hands on experience using Azure purview for governing data assets including Metadata, Data Catalog & Data lineage

Hands on experience using Azure SQL Database, Azure Analysis Services and Synapse Analytics

Specific exposure to Microsoft accelerators such as Microsoft Fabric Toolbox Metadata-Driven Ingestion & Processing

Experience working with multiple source databases

Data migration experience from legacy databases or other cloud ecosystems to Microsoft Fabric

Experience is Spark / Pyspark with some hands on with Databricks is highly desired

Nice-to-Have Skills

Provisioning and managing Fabric environment

Knowledge of any other relevant Azure data engineering services

Building and managing PowerBI models on top of Fabric

Exposure to building low code / No code data centric apps using Power Apps

Integrate Power Platform components with Azure based services

For applications and inquiries, contact:View email address on us.fitly.work