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Senior Data Engineer @ Genesys

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 Senior Data Engineer

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.
  • 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.
  • Experience in building enterprise grade data integration pipelines with optimization of data pipelines ( SQL, ETL, AWS (S3, Glue), Snowflake, Airflow, Python, Spark).
  • Experience with cloud database technologies such as Azure, Snowflake, Databricks, Google, AWS (S3, Glue), Airflow , etc.
  • Knowledge about Data modeling , 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.
  • Experience with Complex data pipeline designs delivering real time/near real time latency .
  • 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

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Genesys
Location(s): Chennai

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Keyskills:   Computer science Data modeling Business analytics Architectural design Data processing Business intelligence Monitoring SQL Python Salesforce

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Genesys

Genesys International Corporation Limited-one of the leading Global provider of IT and GIS Consulting and Project Management Services.