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Talend di with snowflake

XPT Software
Posted: 11 March
Offer description

About XPT

* XPT Software Australia PTY Ltd, incorporated in 2016, is a Software Services company
* XPT works with top clients across Australia in Banking, Insurance, Telecom, Retail, Energy, Mining and Manufacturing domains.
* We have 120+ technocrats in Australia working at our client locations.
* XPT Software Australia is part of group companies which has global presence across India & Europe.
* We have served 100+ clients globally, fulfilling their onsite-offshore needs.

Job description: Talend DI with Snowflake

Job Description

* Primary Skills: Talend DI, Snowflake
* Skills: SQL, Power BI, Azure, Openflow, Snowpipe, Apache Airflow, GitHub

Must Have Experience:

* Lead the design and development of data pipelines using Talend and Snowflake.
* Architect and optimize data warehousing solutions in Snowflake, leveraging features like Snowpipe for real-time data ingestion.
* Ensure data integrity, security, and governance across systems.
* Collaborate with data analysts, scientists, and business teams to define data strategies.
* Demonstrated expertise in Talend ETL tool and Snowflake data warehousing.
* Experience with data modeling, database management, and data pipeline optimization.
* Develop and maintain high-performance SQL queries for data extraction and transformation.
* Extract and integrate data from various APIs, ensuring seamless data flow.
* Implement ETL processes and ensure efficient data flow using tools like Apache Airflow for orchestration.
* Monitor and troubleshoot data pipeline performance.
* Guide and mentor junior data engineers.
* Utilize GitHub for version control and collaborative development.

Additional Responsibilities:

* Deep understanding of all core Snowflake concepts and features.
* Design and Implement Data Solutions: Develop scalable and efficient data solutions to support business intelligence and analytics needs.
* Performance Tuning: Optimize Snowflake queries and Talend jobs for performance and cost efficiency.
* Data Quality Management: Implement data quality checks and validation processes to ensure the accuracy and reliability of data.
* Automation: Automate repetitive data tasks and processes using tools like Openflow and Airflow to improve efficiency and reduce manual intervention.

Work Experience: 4-8 years

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