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Job Description
Genpact is hiring for the role of Cloud Data Engineer!
Responsibilities of the Candidate:
- Seek requirements, design, and development of various projects.
- Self-driven, good communication and average project mgmt. skills
- Development & Support of Applications
- Participate in the Application Modernisation program.
- Develop a thorough understanding of the data definitions, domain values, data relationships, business rules, sources, and data integration used in the business domain.
- Develop and test programs to load, unload, transform and aggregate data from and into data stores.
- Build data pipelines to link data processing programs together into jobs. Set up jobs to run daily, weekly, and monthly under scheduler control.
- Incorporate programs into automated CI/CD build and test pipelines.
- Work with Data Analysts to perform data analysis, data profiling and data sourcing in relational and Big Data database environments to implement solutions to business requirements
- Support business analysts and developers with data subject expertise, query building and optimisation
- Team Management, working as a track lead with PM and Scrum Master.
- Working closely with the on-site team and the customer to understand the key expectations on the delivery and ensure the team can meet them.
Requirements
- Excellent written and verbal communication skills
- MLFlow, Data pipeline using Databricks technology stack, Azure cloud stack, Snowflake
- Working experience in Data Warehousing with experience on Cloud Data.
- Strong Snowflake Cloud database experience, Database developer.
- Hands-on experience with Snowflake
- Develop and support the Data Ingestion Framework (using SQL, Spark, Python Scripting, Databricks, Snowpipe, etc.)
- Strong Skills in Relational Databases and writing complex SQL
- Excellent understanding of Data Warehousing concepts (i.e., Data modelling, data transformations)
- Good programming skills with any programming language (Python preferred)
- Prior experience on Databricks and/or Spark is good to have.
- Good understanding of Unix shell scripting
- Knowledge about DevOps implementation in the data space
- Excellent communication and interpersonal skills
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