Job Description : Must have skills: Genesis, SIP, Python & Nodejs Key Responsibilities: · Design, configure, and maintain Genesys Contact Center solutions (PureEngage, Cloud, or Multicloud). · Manage and troubleshoot SIP trunking, VoIP, and telephony infrastructure. · Develop and maintain automation scripts and tools using Python and Node.js. · Integrate telephony systems with third-party applications and APIs. · Monitor system performance and ensure high availability of voice services. · Collaborate with cross-functional teams to deliver scalable and secure voice solutions. · Participate in incident response and root cause analysis for voice-related issues. · Document system configurations, processes, and best practices. Required Skills & Qualifications: · 3+ years of experience in Voice/Telephony Engineering. · Strong hands-on experience with Genesys (PureEngage, Cloud, or Multicloud). · Proficiency in SIP trunking, VoIP protocols, and telephony infrastructure. · Solid programming skills in Python and Node.js. · Experience with REST APIs, webhooks, and real-time communication protocols. · Familiarity with Linux environments, networking, and monitoring tools. · Strong analytical and troubleshooting skills. · Excellent communication and documentation abilities. Good to Have: · Experience with Amazon Connect cloud contact center platform. · Exposure to NICE Telephony or NICE CXone solutions. · Genesys certifications (e.g., GCP, GCA).
As a Senior Data Engineer specializing in Matillion ETL and Snowflake, you will play a crucial role in supporting data integration and transformation requirements within the banking and financial services industry. Your primary focus will be on constructing secure and scalable data pipelines that underpin essential functions like regulatory compliance, risk management, and customer analytics. **Key Responsibilities:** - Develop and optimize ETL workflows using Matillion and Snowflake - Create and maintain end-to-end data pipelines using Matillion ETL - Handle banking data such as transactions, compliance, and risk - Collaborate with analysts and business teams to provide data solutions - Ensure data integrity, security, and performance tuning - Assist in cloud-based data integration - Stay abreast of the latest industry trends and updates related to Snowflake & Matillion **Requirements:** - Possess a minimum of 6 years of experience in Data Engineering - Have at least 2 years of hands-on experience in Matillion development, encompassing job orchestration, transformation, CDC (Change Data Capture), and scheduling - Familiarity with Matillion variables, contexts, and environments for deployment management - Proficient in working with Matillion API and automation workflows - Hold a minimum of 3 years of hands-on experience with Snowflake, involving performance tuning, SnowSQL, Snowpipe, etc. - Skilled in connecting Matillion with cloud storage services - Capable of writing and optimizing complex SQL queries, stored procedures, views, etc., for efficient processing - Understanding of cloud platforms (Compute, storage, IAM, etc.) - Proficiency in Python & Bash scripting within Matillion - Knowledge of banking/financial data structures and compliance - Matillion Certified Developer (if available) or relevant Snowflake certifications - Familiarity with Git, CI/CD pipelines for automatic deployment of Matillion jobs In summary, your role as a Senior Data Engineer requires expertise in Matillion ETL, Snowflake, SQL, Python, Bash scripting, and a deep understanding of banking/financial data to effectively support data integration and transformation within the banking and financial services sector.,