Genesys empowers more than 8,000 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.
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.
The Data engineering teams create data products and consumption capabilities that meet the needs of our enterprise, analyst communities, and downstream systems that utilize data to drive the business.
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.
Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
Develop ETL (extract, transform, load) processes to help extract and manipulate data from multiple sources.
Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Adhere to SOX compliance.
Monitor data systems performance and implement optimization strategies. Improves operational practices and metrics.
Adhere to data engineering standards and best practices and contribute towards its maturity. Guide and Mentor junior engineers.
Experience And Minimum Qualifications
Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum of 5+ years of relevant working experience in data engineering.
Experience working with cloud Data Warehouse solutions (Snowflake). and Cloud-based solutions (e.g. AWS, Azure, GCP). Exposure to salesforce or any CRM.
Experience working with data ingestion tools such as Fivetran, Talend.x Advanced SQL skills and experience with relational databases and database design.
Experience with working on large data sets and distributed computing(Spark/Hive/Hadoop) Strong proficiency in object-oriented languages: Python, Java. Strong proficiency in scripting languages.
Strong proficiency in data pipeline and workflow management tools (Airflow). Excellent problem-solving, communication, and organizational skills.
Proven ability to work independently and with a team. Is a self-starter and action biased. Strong in communications that handles stake holder communications.
Follows agile methodology to work , collaborate and deliver in a global team set up.
Ability to learn and adapt quickly.
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About Genesys:
Every year, Genesys orchestrates billions of remarkable customer experiences for organizations in more than 100 countries. Through the power of our cloud, digital and AI technologies, organizations can realize Experience as a Service™ our vision for empathetic customer experiences at scale. With Genesys, organizations have the power to deliver proactive, predictive, and hyper personalized experiences to deepen their customer connection across every marketing, sales, and service moment on any channel, while also improving employee productivity and engagement. By transforming back-office technology to a modern revenue velocity engine Genesys enables true intimacy at scale to foster customer trust and loyalty. Visit www.genesys.com.
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Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
