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
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  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

For Employers

Add office photos

Engaged Employer

Genesys

Compare

4.0

based on 71 Reviews

13 Genesys Jobs

Senior Data Engineer

Genesys India

4.0

based on 71 Reviews

5-8 years

Chennai

1 vacancy

Senior Data Engineer

Genesys

posted 5mon ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Back Office Salesforce Python SQL CRM

+ 3 more

Job Description

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

Bachelors 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.

If a Genesys employee referred you, please use the link they sent you to apply.

Employment Type: Full Time, Permanent

Functional Areas: Analytics & Business Intelligence

Read full job description

Prepare for Senior Data Engineer roles with real interview advice