Data Architect (49871)

Incedo Inc
United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Amazon Web Services Microsoft Azure Big Data C Sharp (Programming Language) Data Architecture Extract Transform Load (ETL) Data Warehousing Python (Programming Language) SQL Databases Systems Integration Unstructured Data Cloud Platform System
+7 more
Azure Data Factory Apache Spark Information Technology Azure Synapse Analytics Data Pipelines Databricks Programming Languages

Job description

As a Senior Principle Engineer - Cloud Data Platform (Azure) at Incedo, you will be responsible for managing and optimizing the Microsoft Azure environment, ensuring its performance, scalability, and security. You will work closely with data analysts and data scientists to develop data pipelines and run data science experiments. You will be skilled in cloud computing platforms such as AWS or GCP and have experience with data warehousing technologies such as Azure Synapse Analytics. You will be responsible for configuring and optimizing the Azure environment, ensuring that data pipelines are efficient and accurate, and troubleshooting any issues that arise. You will also work with the security team to ensure that the Azure environment is secure and complies with relevant regulations.

Roles & Responsibilities:

  • Designing, developing and deploying cloud-based data platforms using Microsoft Azure
  • Integrating and processing large amounts of structured and unstructured data from various sources
  • Implementing and optimizing ETL processes and data pipelines
  • Developing and maintaining security and access controls
  • Collaborating with other teams to ensure the consistency and integrity of data
  • Troubleshooting and resolving data platform issues
  • Foster a collaborative and supportive work environment, promoting open communication and teamwork.
  • Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best.

Requirements

DataArchitect Data Modeling Tool, Data Science, Consulting, Customer Support/Service, Biology, Wealth Management, Product Engineering, Bank Management, Healthcare, Onboarding, * Expertise in Azure services and tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

  • Experience in building scalable and reliable data pipelines using Azure services, Apache Spark, and related big data technologies
  • Familiarity with cloud-based infrastructure and deployment, specifically on Azure
  • Strong knowledge of programming languages such as Python, C#, and SQL, * 13-15 years of work experience in relevant field
  • B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

About the company

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients

from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through

end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and

design capabilities coupled with deep domain understanding. We combine services and products to maximize

business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science

& healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep

technology and domain experts, and global teams. Incedo University, our learning platform, provides ample

learning opportunities starting with a structured onboarding program and carrying throughout various stages of

your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible

career paths allow you to grow into a program manager, a technical architect or a domain expert based on your

skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by

  • Harnessing the transformational impact of emerging technologies
  • Bridging the gap between business and technology

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