Senior Cloud Data Engineer
3 weeks ago
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.
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