Sr. Data Engineer(Python, SQL, Snowflake, AWS or GCP)

Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. Genesys empowers more than 7,500 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for customers and employees. Through Genesys Cloud, the #1 AI-powered experience orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experiences at scale. As the trusted, all-in-one platform born in the cloud, Genesys Cloud accelerates growth for organizations by enabling them to differentiate with the right customer experience at the right time.     We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.     The Genesys Data & Analytics Team The Data & Analytics team is a central team comprised of Data Engineering, Data Platform/Technologies, Data Analytics, Data Science, Data Product, and Data Governance practices.  This mighty team serves the enterprise that includes sales, finance, marketing, customer success, product and more.  The team serves as a core conduit and partner to operational systems that run the business including Salesforce, Workday and more.  The Data Engineering team creates data products and consumption capabilities that meet the needs of our enterprise, analyst communities, and downstream systems that utilize data to drive the business.     Senior Data Engineer is a key member of the Data Engineering team and is part of Enterprise Data & Analytics organization that brings engineering excellence at design, deliver, and operate the capabilities that transforms our business.  As a Senior Data Engineer, you will lead complex data problems and influence other pod members on engineering best practices and standards.

Design, build and maintain batch or real-time data pipelines. Partners closely with data architects to deliver in alignment with the long term architecture of data engineering solutions. Work with product owners, data scientists and analysts to understand requirements, clean and integrate data, and determine the best way to provision that data. Deliver to architectural design from principal engineers and architects on technology solutions that achieve results at scale. Provide technical thought leadership for efficient data pipeline processes, warehouse architecture and business intelligence functions. Guide, mentor and influence other data engineers and analysts on engineering best practices. Drive a data operations mindset by monitoring and analyzing information to evaluate data pipeline performance & quality. Collaborate with cross-function teams to design interfaces that support data integration (ingress and egress) with internal and external platforms.

5+ years of enterprise data engineering experience Proficiency with building enterprise grade data integration pipelines with optimization of data pipelines (AWS, Databricks, Snowflake) Experience with cloud database technologies such as Azure, Snowflake, Databricks, Google, AWS, Glue, Airflow, etc. Knowledge about data replication, data integration, and data masking 5+ years of programming experience with command