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

Genesys; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Genesys in Chennai, India is seeking a Senior Data Engineer to join the Data Engineering team. You will design, build, and operate batch or real-time data pipelines, collaborating with data architects, product owners, and data scientists to deliver scalable solutions.

The role requires 5+ years in data engineering, strong Python/SQL skills, and experience with cloud platforms (AWS, Azure, Google Cloud) and data technologies like Snowflake and Databricks.

Qualifications

• 5+ years of enterprise data engineering experience.
• Experience building enterprise-grade data pipelines with AWS, Databricks and Snowflake.
• Experience with cloud databases such as Azure, Snowflake, Databricks, Google, AWS, Glue, Airflow.
• Knowledge of data replication, data integration, and data masking.
• 5+ years of programming with Python and SQL/Java/R/Spark.
• Strong communicator with end users and business leaders.
• Experience with CI/CD, code quality, testing, documentation, monitoring.
• Experience with distributed data processing and agile Scrum.

Responsibilities

• Design, build and maintain batch or real-time data pipelines.
• Collaborate with data architects to align with long-term data engineering architecture.
• Work with product owners, data scientists and analysts to understand data requirements.
• Deliver architectural designs for scalable data solutions.
• Provide technical leadership for data pipelines, warehouse architecture and BI.
• Mentor other data engineers and analysts on best practices.
• Monitor and improve data pipeline performance and quality.
• Design interfaces for data integration with internal and external platforms.

Skills

Data engineering

Python

SQL

CI/CD

Data integration

Agile

Distributed processing

Cloud platforms

Education

Bachelor's degree in CS or related field

Master's degree in CS

Tools

Azure

Snowflake

Databricks

Google Cloud

AWS

Glue

Airflow

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.

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.

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.

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.

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.

Requirements

• 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 in Python and at least one or more of the following programming languages: SQL, Java, R or Spark
• Must be skilled communicator, and demonstrate an ability to work with end users and business leaders
• Experience with engineering best practices including CI/CD, code quality, testing, documentation, monitoring and more.
• Experience with distributed data processing
• Experience working within an agile scrum framework

Preferred Qualifications

• Bachelor’s degree in computer science, data science AND 4+ years of 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

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® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [e-mail].

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

Genesys is an equal opportunity employer committed to fairness 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 andveteran status, and other protected characteristics.