Amazon Connect - Data Specialist
- Equiniti India
- 3 - 5 years
- Chennai
- 2 days ago
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Job Description
Equiniti is a leading international provider of shareholder, pension, remediation, and credit technology. With over 6000 employees, it supports 37 million people in 120 countries.
EQ India began its operations in 2014 as a Global India Captive Centre for Equiniti, a leading fintech company specialising in shareholder management. Within a decade, EQ India strengthened its operations and transformed from being a capability centre to a Global Competency Centre, to support EQ's growth story worldwide.
Job Title: Amazon Connect Data Specialist
Location: Chennai DLF IT Park/ Bangalore Electronic City phase 2
Shift: UK Shift (Between 1:30 PM to 10:30 PM IST)
Work Mode: Hybrid (3 Days per week / 12 Days per month)
Job Summary:
EQ are seeking a talented Amazon Connect Data Specialist to join our Unified Communications team. If you're passionate about contributing to innovative CCaaS solutions and enhancing customer experiences through data driven insights, this opportunity is for you.
Key Responsibilities:
- Subject matter expert of data requirements within a Contact Centre environment
- Own the data relationship with EQ Data Office, Management Information & Business Stakeholders across all EQ divisions
- Provide data input & guidance during the discovery, design and build phases to ensure the data requirement are achieved and accurate for Amazon Connect
- Own all aspects of data management and output for Amazon Connect including integrations leveraging AWS data
- Collect, clean, validate and process data from multiple sources ensuring accuracy and completeness.
- Define & govern data best practice
- Build and develop reports in conjunction with wider EQ stakeholders
Technical Abilities:
- Hands-on experience with Amazon Connect leveraging knowledge of AWS services (Lambda, DynamoDB, S3, SES, SNS, Lex, Bedrock, API Gateway, Contact Lens, CloudWatch, CloudTrail etc..) to support contact centre solution development.
- Proficiency with Amazon Connect / AWS data, MS Fabric, Databricks and Data Transformation.
- Extensive experience of Business Intelligent tools - Power BI & QuickSight.
- Programming: Expert in Python, SQL or another programming language with data manipulation and extraction. and experienced with Terraform.
- DevOps knowledge and exposure to AWS Terraform and Pipeline deployments.
- AWS Certifications are beneficial such as AWS Certified Solutions Architect, Data Analytics, Machine Learning but are not essential.
Behavioural Expectations:
- Communication Skills: Excellent written and spoken communication abilities.
- Collaborative Mindset: Build strong connections and work well with stakeholders.
- Eager Learner: Enthusiastic about learning and sharing knowledge.
- Independent Worker: Capable of working without direct supervision.
- Centralized Support: Provide voice and video support to internal stakeholders.
- Stakeholder Collaboration: Work effectively with various levels of management.
- Vendor Management: Engage and manage third-party vendors.
- Problem Solving: Troubleshoot and resolve technical issues.
- Troubleshooting: Resolve issues quickly and efficiently in voice and network systems.
- Learning and Development: Continuously expand knowledge of Amazon Connect, AWS services, and contact centre technologies.
- Stay Current: Keep up with the latest trends in cloud, data and managed services.
Benefits:
Being a permanent member of the team at EQ you will be rewarded by our company benefits, these are just a few of what is on offer:
- Business related certification expense reimbursement
- Comprehensive Medical Assurance coverage for dependents & Parents
- Accidental & Life cover 3 times of concerned CTC
Job Classification
Industry: Financial ServicesFunctional Area / Department: BFSI, Investments & TradingRole Category: BFSI, Investments & Trading - OtherRole: BFSI, Investments & Trading - OtherEmployement Type: Full timeContact Details:
Company: Equiniti IndiaLocation(s): Chennai
Keyskills: amazon connect databricks SQL microsoft fabric Python
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