Lead Consultant Snowflake Data Engineer Python+Cloud
Job Description
- Inviting applications for the role of Lead Consultant- Snowflake Data Engineer( Python+Cloud)!
- In this role, the Snowflake Data Engineer is responsible for providing technical direction and lead a group of one or more developer to address a goal.
Job Description:- Working experience with building productionized data ingestion and processing data pipelines in Snowflake.
- Strong understanding on Snowflake Architecture.
- Fully well-versed with data warehousing concepts.
- Expertise and excellent understanding of Snowflake features and integration of Snowflake with other data processing.
- Able to create the data pipeline for ETL/ELT.
- Excellent presentation and communication skills, both written and verbal Ability to problem solve and architect in an environment with unclear requirements.
- Able to create the high level and low-level design document based on requirement.
- Hands on experience in configuration, troubleshooting, testing and managing data platforms, on premises or in the cloud.
- Awareness on data visualisation tools and methodologies.
- Work independently on business problems and generate meaningful insights.
- Good to have some experience/knowledge on Snowpark or Streamlit or GenAI but not mandatory.
- Should have experience on implementing Snowflake Best Practices.
- Snowflake SnowPro Core Certification is must.
Job Details
Experience :
0 To 3
Number Of
Vacancies :
10
Job Type :
Permanent
Industry Type : IT/Software
Salary
:
2 Lac - 4 Lac
P.A
Education Summary
UG :
BE/B.Tech
PG :
Any PG Degree
Contact Details
Contact
Person :
NA
Contact
Number :
8030835000
e-mailId :
hr.helpdeskexit@genpact.com
Address :
RMZ One Paramount Porur Chennai, Campus-10,6th Floor, RMZ-One Paramount, Mount Poonamallee High Road, Porur, Chennai- 600116
Office Location
Central Jakarta No 1234, Jakarta, IndonesiaSnowflake Developer
Experience -
4 to 6
Python ML developer
Experience -
3 to 8
Python ML developer
Experience -
3 to 8
Data Engineer
Experience -
5 to 8
Key Skills -
1.GCP Services: Dataflow,
BigQuery,
Pub/Sub,
Cloud Storage,
Bigtable,
Dataproc
2.Data Engineering: ETL/ELT pipeline development,
data ingestion,
streaming & batch processing
3.Infrastructure as Code (IaC): Terraform,
Cloud Deployment Manager
4.Programming & Scripting: Python,
SQL,
Java/Scala (for Dataflow or Spark jobs)
5.Data Modeling & Warehousing: Star/Snowflake schema design,
partitioning,
clustering,
query optimization
6.Monitoring & Troubleshooting: Stackdriver/Cloud Monitoring,
logging,
alerting,
debugging pipelines
7.Data Quality & Validation: Unit tests,
integration tests,
data validation frameworks
8.Version Control & Collaboration: Git,
GitHub/GitLab,
CI/CD pipelines
9.Soft Skills: Problem-solving,
documentation,
knowledge sharing,
collaboration with cross-functional teams,