Kodehash - Data Engineer - ETL Tools
3 weeks ago
Key Responsibility for the Role :
- Design, develop, and maintain data pipelines to ingest, transform, and load data from various sources into cloud Data Warehouse such as Snowflake.
- Implement ETL (Extract, Transform, Load) processes using Snowflake's features such as Snowpipe, Streams, and Tasks.
- Optimize data warehouse performance and scalability using SQL features like clustering, partitioning, and materialized views.
- Implement data quality framework to ensure consistency and accuracy of data across different systems.
- Work on data modeling - roles, databases, schemas, ETL tools with cloud-driven skills.
- Strong handle on SQL language and cloud-based data warehouse.
- Work on Data Masking / Encryption / Tokenization, Data Wrangling / Data Pipeline orchestration (tasks).
- Setup AWS S3/EC2, Configure External stages, and SQS/SNS
Key Skills for the Role :
- SQL - Strong SQL skills for querying and data manipulation
- ETL - Experience with ETL processes for data integration.
- Python - Strong command of Python, especially in AWS Boto3, JSON handling, and dictionary operations
- Unix - Competent in Unix for file operations, searches, and regular expressions
- AWS - Proficient with AWS services including EC2, Glue, S3, Step Functions, and Lambda for scalable cloud solutions
- Database Modeling - Solid grasp of database design principles, including logical and physical data models, and change data capture (CDC) mechanisms.
- Snowflake - Experienced in Snowflake for efficient data integration, utilizing features like Snowpipe, Streams, Tasks, and Stored Procedures.
- Airflow - Fundamental knowledge of Airflow for orchestrating complex data workflows and setting up automated pipelines
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