Chapter247 - Senior Data Engineer - ETL Tools

4 weeks ago

IndoreMP, India Chapter247 Infotech Full time

Responsibilities :

- Design, develop, and implement data warehousing solutions with a strong focus on Snowflake, Databricks, and Azure.

- Build productized data ingestion and processing pipelines to facilitate seamless data integration.

- Architect, design, and operationalize large-scale data and analytics solutions on Snowflake Cloud Data Warehouse.

- Develop and maintain ETL pipelines for data ingestion and transformation using Python and SnowSQL.

- Create scripts using Unix, Python, etc., for Extract, Load, and Transform (ELT) processes.

- Provide production support for data warehouse issues, including data load, transformation, and translation problems.

- Translate business requirements for BI and reporting into database design and reporting solutions.

- Understand data transformation and translation requirements and leverage appropriate tools.

- Develop, automate, and document data pipelines using modern cloud-based technologies.

- Optimize Snowflake accounts by managing compute and storage, ensuring performance, and handling administrative tasks.

- Utilize Snowflake utilities such as SnowSQL, SnowPipe, and Time Travel, and write stored procedures and manage tasks within Snowflake.

- Engineer platform components like data pipelines, data masking, data orchestration, data quality, data governance, and analytics in Snowflake.

- Implement Snowflake best practices for managing load operations and optimizing performance.

- Design and develop secure data access using Role-Based Access Control (RBAC), secure views, and dynamic data masking.

- Utilize data replication for secure data sharing across accounts and managing failover scenarios.

- Apply advanced performance tuning methodologies in Snowflake to enhance query performance and reduce processing time.

Qualifications :

- Minimum of 3+ years of experience working in Snowflake, ADF and Data Bricks.

- Minimum of 4+ years of experience in implementing data warehousing solutions.

- Strong experience in building data ingestion and processing pipelines.

- Solid understanding of large-scale data and analytics solution architecture on Snowflake Cloud Data Warehouse.

- Proficiency in developing ETL pipelines using Python and SnowSQL.

- Hands-on experience with Unix, Python, and other scripting languages for ELT processes.

- Experience in providing production support for data warehouse issues.

- Ability to translate BI and reporting requirements into database design.

- In-depth knowledge of data transformation, translation requirements, and appropriate tools.

- Familiarity with cloud-based data pipeline automation and documentation.

- Demonstrated understanding of Snowflake architecture, including compute and storage management.

- Proficiency with Snowflake utilities and stored procedures.

- Expertise in data pipeline engineering, data masking, data orchestration, data quality, data governance, and analytics in Snowflake.

- Experience with Snowflake best practices, load operation management, and performance optimization.

- Knowledge of data governance in Snowflake, secure views, dynamic data masking, and RBAC.

- Experience with data replication for secure data sharing and failover management.

- Strong scripting skills in Spark, PySpark, Snowpark, or SQL are highly desirable.

- SnowPro certification is a plus.

(ref:hirist.tech)

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