Data Solutions Engineer
Data Solutions Engineer
Posted on :
27-09-2024
Employer Active
1 Vacancy
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Job Description
Job Description:
We are seeking a skilled Data Solutions Engineer with over 5 years of experience in designing developing and maintaining efficient data processing pipelines and data warehousing solutions. The candidate should have expertise in SQL Oracle and Snowflake with a strong understanding of AWS Cloud services.
Key Responsibilities:
- Design develop and maintain SQL queries and data pipelines for data processing and reporting.
- Utilize Oracle and Snowflake databases for data management and retrieval.
- Create and manage data models to support business analytics and decisionmaking processes.
- Implement data warehousing solutions to ensure data integrity and accessibility.
- Leverage AWS Cloud services to build scalable and reliable data infrastructure.
- Perform data profiling to assess data quality and implement improvement strategies.
- Collaborate with crossfunctional teams to understand and deliver data requirements.
- Develop and automate reports and dashboards for datadriven decisionmaking.
- Monitor and optimize data systems for performance and efficiency.
Eligibility Criteria:
- Bachelors degree in Computer Science Information Systems Data Science or a related field.
- 5 years of handson experience with SQL and Oracle databases.
- Proficiency in Snowflake data warehousing and cloudbased data solutions.
- Strong knowledge of data modelling techniques and best practices.
- Experience with AWS Cloud services (EC2 S3 Redshift Lambda).
- Demonstrated ability in data profiling and managing data warehousing solutions.
- Excellent problemsolving skills and attention to detail.
- Strong communication skills and the ability to work collaboratively within a team environment.
Preferred Skills:
- Expertise in data architecture and largescale data systems.
- Familiarity with automation tools for reporting and data management.
SQL,Snowflake,AWS Cloud Services,Oracle
Employment Type
Full Time
Key Skills
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