Data Engineer
Tasks
- Collaborate with data architects analytics teams and stakeholders
- Design data pipelines
- Develop and manage ELT ETL processes
- Develop code document and execute tests
- Develop data solutions
- Develop detailed plans and estimates
- Document architecture data flows and procedures
- Ensure data quality, security, and compliance
- Lead data migration projects
- Optimize Snowflake data warehouse
- Participate in requirements gathering
- Prepare technical specifications
- Run optimize SQL queries
- Troubleshoot performance and data issues
Perks/Benefits
Skills/Tech-stack
AWS Azure GCP | Azure GCP | Bash Scripting | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS Azure | Cloud platforms AWS Azure GCP | DBT | Data Governance | Data Migration | Data Modeling | Data Pipeline Development | Data Quality | Data Security | Data Warehousing | Data integration | Data pipeline | ETL/ELT | Fivetran | Hadoop | Informatica | Java | Liquibase | Microservices | NoSQL (MongoDB | NoSQL (MongoDB, Cassandra) | NoSQL MongoDB Cassandra HBase | Orchestration tools | Orchestration tools (Airflow) | Performance optimization | Pipeline Development | Python | SQL | Snowflake | Stone Branch | Tableau | Tools (Airflow | Version Control (Git) | Version control
Education
Roles
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