Data Engineer

MFCJP00015819

Please use Manulife Template

Please inform cdd Date of Birth

for replacement our consultant

Join date 2 Desember - NEED ASAP CANDIDATE

Experience Requirements: 3-5 Years Responsible for data analysis, validation, cleansing, collection and reporting. Extract and analyze data from various sources, including databases, manual files, and external websites. Respond to data inquiries from various groups within an organization. Create and publish regularly scheduled and/or ad hoc reports as needed. Document reporting requirements and process and validate data components as required. Experience with relational databases and knowledge of query tools and/or statistical software required.Strong analytical and organizational skills required. Must possess expert level knowledge of MS Excel and experience as a Data Analyst is required.

Job Description :

• Design, build and maintain batch or real-time data pipelines in production.
• Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources.
• Automate data workflows such as data ingestion, aggregation, and ETL processing.
• Prepare raw data in Data Warehouses into a consumable dataset for both technical and nontechnical stakeholders.
• Partner with data scientists, functional leaders in sales, marketing, and product to deploy machine learning models in production.
• Build, maintain, and deploy data products for analytics and data science teams on cloud platforms.
• Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership.

Top Responsibility :

• Design the data structure
• Creation service API
• Profile the creation
• If required, integration between data lake and 3rd party platform Medallia, provide service API.
• Data ingestion, involve in EDL (data lake platform) and ETL (data transfer).
• data ingestion from PL/SQL to data lake – check and compare if the data is valid between PL/SQL and data lake.

Requirement :

2- 4 years work experience as data engineer with

below must have tech skills:

• Azure data factory / similar apps : Glue
• Experienced using Data analytics tool for example Python
• Experienced with Pl/sql database
• English is a Must

Project :

For Medalia Project.

• This project focus on new system (Medallia application). It’s a survey application.
• Medallia analyze survey data .
• This is for Customer service call- after the conversation with customer is done, Medallia will share the survey that customer need to fill.
• Then, the application (Medallia)will collect data survey results.

Interview :

1 round face to face interview