4+ AWS Simple Queuing Service (SQS) Jobs in Delhi, NCR and Gurgaon | AWS Simple Queuing Service (SQS) Job openings in Delhi, NCR and Gurgaon

About MyOperator:

MyOperator is India's leading cloud communications provider, empowering over 10,000 businesses across diverse industries with innovative SaaS solutions. Our offerings include Cloud Call Center, IVR, Toll-free Numbers, Enterprise Mobility, WhatsApp Business Solutions, and Heyo Phone. We are dedicated to delivering excellence through cutting-edge technology and exceptional customer service.

About the Role:

Are you a results-driven and detail-oriented professional with a strong understanding of telecom regulations and backend operations? We are seeking a dynamic Compliance Analyst - Operations to take ownership of backend operations, vendor management, and ensure full adherence to telecom-related compliances.

This role requires a deep understanding of telecom infrastructure, data center operations, and regulatory frameworks. You will be instrumental in driving compliance, optimizing operational processes, supporting strategic business growth, and mitigating potential operational and compliance risks.

Key Responsibilities:

• Regulatory Compliance: Ensure adherence to all telecom-related laws, licenses, and regulatory guidelines (TRAI, DoT, etc.). Stay updated on compliance mandates, coordinate audits and filings, and manage relationships with regulatory bodies.
• Telecom Procurement & Vendor Management: Conduct end-to-end procurement of telecom resources and services, ensuring cost efficiency, SLA adherence, and compliance in vendor contracts. Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews.
• Data Center Operations: Oversee procurement and resource planning for data center infrastructure, monitor performance, identify areas for optimization and regulatory alignment, and ensure adherence to relevant security standards.
• Vendor Governance: Develop and execute vendor management strategies including evaluation, onboarding, contract compliance checks, and performance reviews. Manage relationships with key vendors.
• Asset & Infrastructure Troubleshooting: Manage technical troubleshooting, minimize downtime, and ensure preventive maintenance protocols for telecom infrastructure and data centers.
• Ticketing & Issue Resolution: Handle operational queries via ticketing system, conduct root cause analysis, and suggest process improvements.
• SOPs & Process Development: Define, document, and suggest Standard Operating Procedures (SOPs) across telecom, compliance, and operations functions. Identify opportunities for automation in operational processes.
• Data Management & Reporting: Collect and analyze data from internal and external sources to support management decision-making. Develop dashboards and reports for operational visibility and monitor Key Performance Indicators (KPIs) for backend operations and compliance.
• Cross-functional Collaboration: Work with internal teams to align operational strategies with business objectives and compliance standards.
• Audit & Cost Optimization Support: Assist in telecom/vendor audits (internal and external) and contribute to cost-efficiency initiatives across operations. Familiarity with audit frameworks is desirable.
• Risk Management & Mitigation: Identify potential operational and compliance risks and develop and implement mitigation strategies.
• Stakeholder Management: Interact and manage relationships with external stakeholders like regulatory bodies and auditors.
• Admin Oversight: Manage end-to-end admin tasks including facility coordination, vendor contracts, and support services to ensure smooth daily operations.

Requirements:

• Education: Post Graduate (MBA preferred).
• Experience: Minimum 3-5 years of experience in backend operations, with mandatory exposure to telecom infrastructure and telecom regulatory compliance.

Skills:

• Deep understanding of the telecom regulatory landscape (TRAI, DoT, etc.).
• Strong vendor management and negotiation skills, including SLA adherence.
• Knowledge of telecom and data center infrastructure operations and relevant security standards.
• Ability to design and optimize operational workflows and SOPs.
• Proficiency in MS Office (Excel, Word, PowerPoint).
• Working knowledge of data reporting tools like Google Data Studio, AWS QuickSight, etc.
• Strong communication and analytical skills.
• Experience of working with ticketing systems.
• Basic project management skills.
• Certifications: Relevant certifications (e.g., ITIL, specific telecom certifications, compliance-related certifications) are a plus.
• Understanding of SLAs and KPIs: Proven ability to understand, define, and monitor Key Performance Indicators (KPIs) for backend operations and compliance.
• Location: Candidates must be based in Delhi/NCR.

Other Requirements:

• Willingness to work flexible hours and roster-based shifts (including Sundays).
• Comfortable with a 6-day workweek.
• Location: Work-from-office (Noida, Sector 2).
• Willing to travel to data centers across India when needed.
• Flexibility in communication with both technical and non-technical stakeholders.
• Proactive and solution-oriented approach to challenges.

Benefits:

• Competitive salary aligned with industry standards and experience.
• Opportunity to work at the intersection of compliance, operations, and telecom infrastructure.
• Exposure to strategic and high-impact operational roles across telecom and data center verticals.
• A dynamic and collaborative work environment with growth potential.
• On-the-job learning in telecom regulations, infra compliance, and vendor governance.
• Potential for growth within the organization.
• Exposure to new and innovative technologies in the telecom and data center space (if applicable).
• Specific training opportunities in telecom regulations or technologies (if applicable).

1. Data Engineer

 Required skill set: AWS GLUE, AWS LAMBDA, AWS SNS/SQS, AWS ATHENA, SPARK, SNOWFLAKE, PYTHON

Mandatory Requirements  

• Experience in AWS Glue
• Experience in Apache Parquet 
• Proficient in AWS S3 and data lake 
• Knowledge of Snowflake
• Understanding of file-based ingestion best practices.
• Scripting language - Python & pyspark 

CORE RESPONSIBILITIES 

• Create and manage cloud resources in AWS 
• Data ingestion from different data sources which exposes data using different technologies, such as: RDBMS, REST HTTP API, flat files, Streams, and Time series data based on various proprietary systems. Implement data ingestion and processing with the help of Big Data technologies 
• Data processing/transformation using various technologies such as Spark and Cloud Services. You will need to understand your part of business logic and implement it using the language supported by the base data platform 
• Develop automated data quality check to make sure right data enters the platform and verifying the results of the calculations 
• Develop an infrastructure to collect, transform, combine and publish/distribute customer data.
• Define process improvement opportunities to optimize data collection, insights and displays.
• Ensure data and results are accessible, scalable, efficient, accurate, complete and flexible 
• Identify and interpret trends and patterns from complex data sets 
• Construct a framework utilizing data visualization tools and techniques to present consolidated analytical and actionable results to relevant stakeholders. 
• Key participant in regular Scrum ceremonies with the agile teams  
• Proficient at developing queries, writing reports and presenting findings 
• Mentor junior members and bring best industry practices 

 QUALIFICATIONS 

• 5-7+ years’ experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales) 
• Strong background in math, statistics, computer science, data science or related discipline
• Advanced knowledge one of language: Java, Scala, Python, C# 
• Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake  
• Proficient with
• Data mining/programming tools (e.g. SAS, SQL, R, Python)
• Database technologies (e.g. PostgreSQL, Redshift, Snowflake. and Greenplum)
• Data visualization (e.g. Tableau, Looker, MicroStrategy)
• Comfortable learning about and deploying new technologies and tools. 
• Organizational skills and the ability to handle multiple projects and priorities simultaneously and meet established deadlines. 
• Good written and oral communication skills and ability to present results to non-technical audiences 
• Knowledge of business intelligence and analytical tools, technologies and techniques.

Familiarity and experience in the following is a plus:  

• AWS certification
• Spark Streaming 
• Kafka Streaming / Kafka Connect 
• ELK Stack 
• Cassandra / MongoDB 
• CI/CD: Jenkins, GitLab, Jira, Confluence other related tools