Data and AI support Engineer

Pune - India

Monthly Salary: Not Disclosed

Posted on: 3 days ago

Vacancies: 1 Vacancy

Job Summary

Data and AI support Engineer

Technical Expertise:

Understanding of cloud computing concepts specifically Microsoft Azure.
Experience with Azure services like AKS clusters App Services Storage Accounts Virtual Networks Azure Active Directory and Azure Monitor.
Ability to support API based applications hosted on Azure.
Familiarity with command-line interfaces (CLI) and scripting (PowerShell Bash).
Good handson experience on Python.
Experience with monitoring tools and performance analysis.
Proven experience with theAzure Python SDK and integrating Azure services - Storage Key Vault Logic App Cosmos DB into software applications.
Good Experience on supporting Python Based Web applications.
Knowledge of LLM Vector DB and RAG architecture will be a plus
Basic understanding of networking concepts (TCP/IP DNS firewalls).
Ability to troubleshoot software applications and their dependencies.
Knowledge on supporting Data applications - ADB ADF Databricks PySpark will be a huge plus.
Knowledge on SQLis must.
Understanding of PowerBI reportswill be a plus.

Communication and Collaboration:

Effectively communicate complex technical concepts to both technical and non-technical audiences.
Excellent problem-solving and analytical skills.
Strong customer service orientation and empathy.
Ability to work independently and as part of a team.

Design and impact analysis

Contribute to define feasibility (technical options...) functional design and solution validation.

Performs impact analysis related to data captation (system performance in production security etc.)

Identifies the source of physical data

Enforces security and confidentiality rules for data on its perimeter

Implementation and Deployment

Completes and executes data collection procedures

Builds data collection infrastructure (IoT: Internet of Things sensors database files etc.)

Deploys data collection infrastructure and procedures

Measures the impact on the technical chain implemented (from the connected object to the storage system)

Completes the necessary tests to validate the solution

Documents the implemented solutions

Support and troubleshooting

Analyzes and understands the origin of a complex malfunction incident or bug.

Adopts a proactive approach to avoid or identify root causes of problems.

Provides technical assistance to users.

Required Experience:

Data and AI support EngineerTechnical Expertise:Understanding of cloud computing concepts specifically Microsoft Azure.Experience with Azure services like AKS clusters App Services Storage Accounts Virtual Networks Azure Active Directory and Azure Monitor.Ability to support API based applications ho...

Data and AI support Engineer

Technical Expertise:

Understanding of cloud computing concepts specifically Microsoft Azure.
Experience with Azure services like AKS clusters App Services Storage Accounts Virtual Networks Azure Active Directory and Azure Monitor.
Ability to support API based applications hosted on Azure.
Familiarity with command-line interfaces (CLI) and scripting (PowerShell Bash).
Good handson experience on Python.
Experience with monitoring tools and performance analysis.
Proven experience with theAzure Python SDK and integrating Azure services - Storage Key Vault Logic App Cosmos DB into software applications.
Good Experience on supporting Python Based Web applications.
Knowledge of LLM Vector DB and RAG architecture will be a plus
Basic understanding of networking concepts (TCP/IP DNS firewalls).
Ability to troubleshoot software applications and their dependencies.
Knowledge on supporting Data applications - ADB ADF Databricks PySpark will be a huge plus.
Knowledge on SQLis must.
Understanding of PowerBI reportswill be a plus.

Communication and Collaboration:

Effectively communicate complex technical concepts to both technical and non-technical audiences.
Excellent problem-solving and analytical skills.
Strong customer service orientation and empathy.
Ability to work independently and as part of a team.

Design and impact analysis

Contribute to define feasibility (technical options...) functional design and solution validation.

Performs impact analysis related to data captation (system performance in production security etc.)

Identifies the source of physical data

Enforces security and confidentiality rules for data on its perimeter

Implementation and Deployment

Completes and executes data collection procedures

Builds data collection infrastructure (IoT: Internet of Things sensors database files etc.)

Deploys data collection infrastructure and procedures

Measures the impact on the technical chain implemented (from the connected object to the storage system)

Completes the necessary tests to validate the solution

Documents the implemented solutions

Support and troubleshooting

Analyzes and understands the origin of a complex malfunction incident or bug.

Adopts a proactive approach to avoid or identify root causes of problems.

Provides technical assistance to users.

Required Experience:

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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