Data Scientist

Job Title : Senior Support Engineer

Experience : 5+ Years

Location : Remote

Employment Type : Contract

About the Role :

We are hiring a Senior Support Engineer to provide production support for enterprise data products, APIs, and customer-facing applications supporting a leading telecommunications client. You will be responsible for incident triage, stakeholder communication, issue coordination, and ensuring SLA-driven support while working closely with SRE, Data Engineering, API, ML, and Cybersecurity teams.

Mandatory Skills :

Technical Support, Production Support, Incident Management, ServiceNow/Jira Service Management, SQL, Postman, REST APIs, ITSM, SLA Management, Troubleshooting, Stakeholder Management

Key Responsibilities :

• Monitor and triage production incidents across APIs, web portals, and data platforms.
• Perform initial troubleshooting using logs, SQL, and API testing tools.
• Log, prioritize, and track incidents using ITSM tools.
• Coordinate with engineering teams for issue resolution and follow up until closure.
• Communicate incident status, resolution timelines, and maintenance updates to stakeholders.
• Maintain support documentation, runbooks, FAQs, and knowledge base.
• Identify recurring issues and recommend long-term improvements.

Required Skills :

• 5+ years of experience in Technical Support, Production Support, or Service Desk.
• Strong experience with Incident Management and SLA-driven support.
• Hands-on experience with ServiceNow, Jira Service Management, or similar ITSM tools.
• Working knowledge of SQL, REST APIs, and Postman/API testing.
• Excellent troubleshooting, communication, and stakeholder management skills.
• Understanding of data privacy and enterprise support processes.
• ITIL Foundation Certification is a plus.

Why Join Us ?

• 100% Remote Opportunity
• Work with a leading global telecommunications client.
• Collaborate with cross-functional teams including SRE, Data Engineering, ML, API, and Cybersecurity.
• Opportunity to support enterprise-scale data platforms and mission-critical applications.

Role Summary

Provide architectural leadership across a large-scale, multi-cloud data ecosystem, helping design and guide scalable, future-ready data platforms.

Key Responsibilities

• Design and review data architectures across Google Cloud and Microsoft Azure (multi-cloud).

• Guide decisions around data platforms, pipelines, streaming, and integration patterns.

• Advise on abstraction layers, APIs, messaging/streaming (Kafka, MQ), and system interoperability.

• Partner with engineering teams to ensure designs are practical and executable.

Key Skills

• Deep experience with large-scale data platforms and distributed systems.

• Strong background in multi-cloud architectures (GCP + Azure).

• Expertise in data pipelines, streaming, and enterprise integration.

• Overall 2+ years’ experience developing web applications
• Experience with
  • C#
  • NET Core
  • Entity Framework
  • At least one of the following two databases
    • Microsoft SQL Server
    • PostgreSQL Server
  • Docker
  • Google Cloud

• Hands on coding, systems analysis, design and delivery of projects assigned.
• Completes assigned projects in a timely manner.
• Keeps management informed of project progress and problems, particularly as to needed changes in schedule, resources, or product.
• Responds to problems in a timely, effective manner.

• Familiar with CI/CD pipeline
• Experience working with something other than the Microsoft stack (Python, Java, Scala, Go etc.)

Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data platforms at Petabyte scale. Our customers are Fortune 500 companies including Asia's largest telecom company, a unicorn fintech startup of India, and many more. We are lean, hungry, customer-obsessed, and growing fast. Our Solutions team values productivity, integrity, and pragmatism. We provide a flexible, remote-friendly work environment.

We are building software that can provide insights into companies' data operations and allows them to focus on delivering data reliably with speed and effectiveness. Join us in building an industry-leading data observability platform that focuses on ensuring data reliability from every spectrum (compute, data and pipeline) of a cloud or on-premise data platform.

Position Summary-

This role will support the customer implementation of a data quality and reliability product. The candidate is expected to install the product in the client environment, manage proof of concepts with prospects, and become a product expert and troubleshoot post installation, production issues. The role will have significant interaction with the client data engineering team and the candidate is expected to have good communication skills.

Required experience

1. 6-7 years experience providing engineering support to data domain/pipelines/data engineers.
2. Experience in troubleshooting data issues, analyzing end to end data pipelines and in working with users in resolving issues
3. Experience setting up enterprise security solutions including setting up active directories, firewalls, SSL certificates, Kerberos KDC servers, etc.
4. Basic understanding of SQL
5. Experience working with technologies like S3, Kubernetes experience preferred.
6. Databricks/Hadoop/Kafka experience preferred but not required

Desired Skills

1. Expereience in C#, Web API, .NET (Core and Framework), SQL Server.
2. Leading a team designing and implementing software solutions using the Microsoft Azure stack primarily, with scope to also work with open-source technologies.
3. Designing, building, testing, automating, monitoring, and supporting significant components within a modern digital service platform.
4. Helping to build and lead an effective, cross-functional squad practicing agile ways of working (Scrum, DevOps, Design Sprints) in tight collaboration with local and remote teams
5. Microservices and server less architecture with service fabric, functions and API apps, service bus.
6. Visual Studio, Visual Studio Code and GIT, Azure CLI (Cloud Shell), Azure DevOps.
7. Expertise in with Azure Active Directory, VNETs, NSGs, ASGs, OAuth and OpenID Connect, Azure traffic manager, CDN, App Gateway and load balancers.
8. Hands on experience of executing cloud native projects in Azure with DevOps

• Developing Hybrid Mobile Apps using IONIC 4 or 5 + ANGULAR + Typescript & CAPACITOR
• Independently compile and deploy apps - both on Android & Apple platforms
• With Plugins such as Google Maps, Payment Gateways, Push Notifications, QR Codes, WiFi, NFC, etc is good to have
• Optimize for multi-device iPhone, iPad, Tablet & Smartphones
• Experience in HTML5, CSS3, & JavaScript
• Good understanding of REST APIs & JSON

• Be able to work in cross-functional teams
• Write high-quality code as per industry standards and best practices
• Test the code for quality assurance, debug identified bugs and resolve issues
• Support in building, deploying, and maintenance of products and services
• Documenting product service progress, status, and manuals
• Participate in team meetings and planning & review sessions