Data Engineer - Snowflake/Databricks
- Brazil
- Mid Level
- Posted
Skills
Required
- Snowflake
- Databricks
- AWS
- SQL
- Python
- data processing
- data modeling
- ETL processes
- performance tuning
- analytics
- data querying languages
- S3
- Lambda
- Redshift
- data warehousing concepts and best practices
Preferred
- Scala
- data visualization tools
- Tableau / Power BI
- data governance
- Agile development
- data engineering
- data pipelines
- data workflows
Data Engineer - Snowflake/Databricks
Responsibilities
Coforge
- Design, develop, and maintain scalable data pipelines using Snowflake and AWS services.
- Collaborate with data analysts and business stakeholders to understand data requirements and deliver actionable insights.
- Implement data integration solutions using Databricks for data processing and transformation.
- Monitor and optimize data workflows to ensure high performance and reliability.
- Participate in code reviews and contribute to best practices in data engineering.
- Document data processes and maintain clear communication with team members and stakeholders.
- Stay updated with the latest trends and technologies in data engineering and cloud computing.
Requirements
Snowflake, Databricks, SQL, AWS, Python
- Strong expertise in Snowflake, including data modeling, ETL processes, and performance tuning.
- Basic experience with Databricks for data processing and analytics.
- Proficiency in SQL and data querying languages.
- Experience with AWS services such as S3, Lambda, and Redshift.
- Familiarity with data warehousing concepts and best practices.
Preferred
- Knowledge of Python or Scala for data manipulation and analysis.
- Experience with data visualization tools such as Tableau or Power BI.
- Understanding of data governance and security best practices.
- Experience working in an Agile development environment.
are hiring
Data Engineer - Snowflake/Databricks with the following skill set.
Posted On
5-11-2026
At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
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