Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
- Gratuity calculator
  
  Check your gratuity amount
- HRA calculator
  
  Check how much of your HRA is tax-free
- Salary hike calculator
  
  Check your salary hike
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 2K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

WINNERS AWAITED!
- ABECA 2025
  
  WINNERS AWAITED!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Engaged Employer

Genesys

Compare

4.1

based on 79 Reviews

13 Genesys Jobs

Staff Data Engineer

Genesys India

4.1

based on 79 Reviews

5-7 years

Chennai

1 vacancy

Staff Data Engineer

Genesys

posted 5mon ago

Job Role Insights

Flexible timing

Key skills for the job

Back Office Salesforce Python SQL Business Analytics SAP Business Intelligence

+ 3 more

Job Description

Join the team and create the future of customer experience together.

Summary:

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.

Staff 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 Staff 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

5-7 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
5-7 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 5+ years of experience in business analytics, data science, software development, data modeling and/or data engineering work or masters 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.

Employment Type: Full Time, Permanent

Read full job description

Prepare for Data Engineer Staff roles with real interview advice