Associate Data Engineer (Python, SQL, AWS)

Job description

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. The Genesys Data Engineering & Analytics Team The Data Engineering & 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. Associate 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 Associate Data Engineer, you will Design and Develop data pipelines and support the team in designing and solution complex data problems and follow engineering best practices and standards.  Responsibilities • 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. • Develop efficient data pipeline processes, warehouse architecture and business intelligence functions. • Work closely with other data engineers and analysts and align on engineering best practices. • Have 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. • Requirements • 2+ years of enterprise data engineering experience • Experience in 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 • 2+ years of programming experience with command in Python and at least one or more of the following programming languages: SQL, Java, R or Spark • Skilled communicator, and demonstrate an ability to work with other Engineers, Product and end users • Experience with engineering best practices including CI/CD, code quality, testing, documentation, monitoring and more. • Good to have working experience within an agile scrum framework Preferred Qualifications • Bachelor’s degree in computer science, data science AND experience in business analytics, data science, software development, data modeling and/or data engineering work or master's degree in computer science • Strong team player: ability to lead peers in accomplishment of common goals. • Creative, innovative and solution design thinking: You evaluate things holistically and think through the objectives, impacts, best practices, and what will be simple and scalable • Experience working on AI/ML use-cases is a plus #LI-GR1#LI-Hybrid  Working at Genesys • AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year. • A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work. • Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support. • Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families. • Recognized globally – Genesys is Great Place to Work® certif