I

Senior Data Engineer (40748)

Incedo
On-site

Company Overview

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


Role Description

Role Description:

As a Senior Cloud Data Platform (Azure) Engineer 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


Technical Skills

Skills Requirements:


 



  • 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

  • Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner.

  • Must understand the company's long-term vision and align with it.

  • Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team.


Nice-to-have skills

Qualifications

Qualifications 


 



  • 4-6 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 


Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.