Senior Cloud Data Engineer

4 weeks ago

Indore, India Talent-Max Consultant Full time

Job Role : Sr Cloud Data Engineer

Job Location : Remote

Working Timings : 3 PM - 12 AM (IST)

Joining : Earlier the best

Employment : Full Time

Specifications :

Designation : Cloud Data Engineer

Qualifications : BE/MCA or equivalent

Experience : 7-10 Years

Desired Job attributes :

- 07+ years' experience in Alteryx & GCP.

- Experience with SSIS.

- Hands-on experience using Talend.

- Proven experience working with SQL Server Integration Services (SSIS) and SQL Server Management Studio (SSMS).

- Proficiency in SQL programming, T-SQL, stored procedures, and database querying.

- Strong understanding of data warehousing concepts, ETL best practices, and database administration.

- Experience in optimizing and tuning ETL processes and SQL queries for performance.

- Ability to manage SQL Server databases, including monitoring, backup, and recovery.

- Excellent problem-solving skills with the ability to analyze complex data and database-related issues.

- Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.

- Certifications such as Microsoft Certified: Data Engineer or similar will be a plus.

- Nice to have Skills: Alteryx

Roles and Responsibilities :

- Design, develop, and implement ETL processes using SQL Server Integration Services (SSIS) for efficient data extraction, transformation, and loading.

- Utilize SQL Server Management Studio (SSMS) for database administration tasks including performance tuning, monitoring, and maintenance.

- Collaborate with stakeholders to gather requirements and translate them into technical specifications for data integration solutions and database structures.

- Create and manage database objects, including tables, views, stored procedures, and triggers, ensuring data integrity and optimal performance.

- Optimize and tune ETL processes and database queries for performance and scalability, ensuring data accuracy and reliability.

- Develop and implement data quality standards, data cleansing, and validation procedures.

- Perform troubleshooting, debugging, and resolution of data-related issues in production environments.

(ref:hirist.tech)

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