Data Warehouse and Analytics Specialist

July 26, 2024

Full Time

Remotely

Apply Now

Role Overview:

Skills: Data Warehousing, ETL, Python 3, AWS
Remote or Makati Offices (Your choice)
Competitive Salary
Philippines Benefits + HMO
Shift: Mid-shift
Position: Full-time

‍

Job Description:

Work closely with clients to understand their requirements and expectations, providing accurate pricing estimates and architecture approvals.
Work well within a team, contributing to a collaborative and productive work environment.
Design, implement, and manage data warehousing solutions, ensuring data integrity and efficient data processing.
Demonstrate expertise in data warehousing and analytics, including understanding the differences between data warehouses and data lakes, and managing data transformation and ETL pipelines.
Demonstrate a solid understanding of API and integration technologies, including GraphQL, REST, and SOAP, to effectively manage and implement integrations.
Utilize Python 3 for data processing and analysis tasks to ensure efficient handling and interpretation of data.
Leverage AWS services for compute, storage, and analytics, while applying basic security and infrastructure management skills.

‍

Qualifications:

Strong foundations on Data Warehousing and Analytics concepts, including Data Warehouse vs. Data Lakes, Data Transformation, and ETL Pipelines.
Expertise in SQL and PostgreSQL, including schema design and query optimization.
Experienced in API and integration technologies such as GraphQL, REST, and SOAP.
Skilled in Python 3 for data processing and data manipulation tasks.
Comprehensive knowledge of AWS services including Lambda, S3, RDS/Redshift, Athena, Glue, and Quicksight, with hands-on experience in compute, storage, database, and analytics-related solutions.
Strong communicator with excellent written and verbal skills, capable of collaborating effectively within teams.
Demonstrates a proactive and positive attitude, driven by a passion for continuous learning and self-improvement.

‍

Desirable Skills:

Have a minimal background in security and infrastructure management within the AWS ecosystem.
Knowledge in Salesforce for configuration, customization, and integration.
Familiarity with collaboration and productivity tools such as Jira, Confluence, Teams, and Outlook.

‍

Salary, Incentive and Benefits Packages:

Competitive Salary
Benefits package include HMO, training allowance, gym or food allowance, educational assistance for dependents and more
An annual salary increase, as laid out in the contract
Free food and drinks are provided in the office
Company trips

‍

Submit your CV today

Submit your CV today and one of our recruitment officers will get in touch with you!

Careers

Based in

Philippines

Cloud Employee is a UK-owned Philippines business established 8 years ago. We connect high-performing software engineer talent in the Philippines with some of the world’s leading and most innovative tech companies. Developers join to work from the Philippines as part of international engineering teams and grow their CV and skill-set.

We pride ourselves on being a supportive and cutting-edge workplace that continuously invests in staff development, engagement, and well-being. We provide security, and career paths, along with individual training programs and mentoring.

Role Overview

Work closely with clients to understand their requirements and expectations, providing accurate pricing estimates and architecture approvals.
Work well within a team, contributing to a collaborative and productive work environment.
Design, implement, and manage data warehousing solutions, ensuring data integrity and efficient data processing.
Demonstrate expertise in data warehousing and analytics, including understanding the differences between data warehouses and data lakes, and managing data transformation and ETL pipelines.
Demonstrate a solid understanding of API and integration technologies, including GraphQL, REST, and SOAP, to effectively manage and implement integrations.
Utilize Python 3 for data processing and analysis tasks to ensure efficient handling and interpretation of data.
Leverage AWS services for compute, storage, and analytics, while applying basic security and infrastructure management skills.

‍

Candidate Requirements

Strong foundations on Data Warehousing and Analytics concepts, including Data Warehouse vs. Data Lakes, Data Transformation, and ETL Pipelines.
Expertise in SQL and PostgreSQL, including schema design and query optimization.
Experienced in API and integration technologies such as GraphQL, REST, and SOAP.
Skilled in Python 3 for data processing and data manipulation tasks.
Comprehensive knowledge of AWS services including Lambda, S3, RDS/Redshift, Athena, Glue, and Quicksight, with hands-on experience in compute, storage, database, and analytics-related solutions.
Strong communicator with excellent written and verbal skills, capable of collaborating effectively within teams.
Demonstrates a proactive and positive attitude, driven by a passion for continuous learning and self-improvement.

‍

Nice to have

Have a minimal background in security and infrastructure management within the AWS ecosystem.
Knowledge in Salesforce for configuration, customization, and integration.
Familiarity with collaboration and productivity tools such as Jira, Confluence, Teams, and Outlook.

‍

Salary, Incentive, and Benefits Packages

Competitive Salary
Benefits package include HMO, training allowance, gym or food allowance, educational assistance for dependents and more
An annual salary increase, as laid out in the contract
Free food and drinks are provided in the office
Company trips

‍

Do you think you are ready for the challenge?

Apply Now

Data Warehouse and Analytics Specialist

Data Warehouse and Analytics Specialist

Submit your CV today

Based in

Philippines

Role Overview

Candidate Requirements

Nice to have

Salary, Incentive, and Benefits Packages

Do you think you are ready for the challenge?

See how it’s like to work at Cloud Employee

We would love to help

Submit your CV today