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Data Engineer (ETL)
Job Description
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using StreamSets.
Roles & Responsibilities:
- Design, develop, and maintain data solutions for data generation, collection, and processing using StreamSets.
- Create data pipelines and ensure data quality.
- Implement ETL processes to migrate and deploy data across systems.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
Professional & Technical Skills:
- Required Skill: Expertise in StreamSets.
- Strong understanding of ETL processes and data migration.
- Experience with Extract Transform and Load (ETL) processes.
- Experience with Snowflake Data Warehouse.
- Experience with data modeling and database design.
- Experience with SQL and NoSQL databases.
- Experience with data warehousing and data lake concepts.
As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using StreamSets.
Roles & Responsibilities:
- Design, develop, and maintain data solutions for data generation, collection, and processing using StreamSets.
- Create data pipelines and ensure data quality.
- Implement ETL processes to migrate and deploy data across systems.
- Collaborate with cross-functional teams to understand data requirements and provide solutions.
Professional & Technical Skills:
- Required Skill: Expertise in StreamSets.
- Strong understanding of ETL processes and data migration.
- Experience with Extract Transform and Load (ETL) processes.
- Experience with Snowflake Data Warehouse.
- Experience with data modeling and database design.
- Experience with SQL and NoSQL databases.
- Experience with data warehousing and data lake concepts.
Qualification
- The candidate should have at least 3 years of experience in StreamSets.
- The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- This position is based in Manila.
- The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.
- This position is based in Manila.
About The Professional Services Company
A multinational professional services company that provides technology, business, and management consulting services specializing in strategy, operations, technology, digital, and consultation. They service clients from all over the world and have offices located globally, with the Philippine branch comprising of about 50,000 employees.
Data Engineer (ETL)
Salary
60,000-100,000/month
Position Level
Professional
Job Level
Experienced Hire
Job Type
Full Time
Hiring Until
01/21/2025
