Capgemini Invent is hiring a Data Engineer to develop scalable pipelines and data solutions using Snowflake, Python and PySpark. The role includes ingestion, modelling, data quality, governance and DevOps practices.
Job Highlights
Company: Capgemini Invent
Role: Data Engineer
Location: Bengaluru
Experience: Experienced Professionals
Employment Type: Permanent
Department: Data and AI
Salary: Based on Profile
Roles & Responsibilities
Design scalable Snowflake data pipelines
Write Python and PySpark code
Develop and optimize SQL queries
Configure Snowpipe, COPY, Streams and Tasks
Extract data from multiple source systems
Create DBT models and data-quality tests
Configure role-based data access
Support data sharing and account cloning
Maintain data governance and security
Use CI/CD and DevOps practices
Qualifications & Eligibility
Relevant experience in data engineering
Strong Snowflake and data-warehouse knowledge
Experience with Python, PySpark and SQL
Understanding of ETL and data-ingestion processes
Strong problem-solving and reusable-development abilities
Required Skills
Snowflake
Python
PySpark
SQL
DBT
ETL
Preferred Skills
AWS, Azure or GCP
Hadoop
Spark
Kafka
Relational and NoSQL databases
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