IT Data Engineering Officer

Job Description:

1. Lead the migration of on-premise data infrastructure to Google Cloud Platform (GCP).

2. Design and implement scalable Data Pipeline, ETL/ELT workflows, and migration strategies.

3. Develop appropriate data storage strategies using Google Cloud Storage (GCS) and BigQuery.

4. Design and manage data acquisition processes from various internal and external sources.

5. Develop and maintain API integrations to ensure reliable and seamless data flow across systems.

6. Ensure data availability, quality, and accessibility for business and analytical needs.

7. Prepare, clean, transform, and structure structured and unstructured data to support Large Language Models (LLMs) and Generative AI initiatives.

8. Collaborate with AI Engineers and Data Analytics teams to provide high-quality and analytics-ready data.

9. Support the development and implementation of data solutions for AI, machine learning, and advanced analytics projects

10. Implement partitioning and clustering strategies to optimize query performance and manage cloud costs.

11. Manage workflow orchestration and dependencies using Cloud Composer (Apache Airflow) and/or Google Cloud Workflows.

12. Implement data security and compliance measures, including IAM roles, data masking, and Customer-Managed Encryption Keys (CMEK).

13. Promote the adoption of emerging technologies, including Artificial Intelligence (AI), Machine Learning (ML), and advanced analytics.

Qualifications:

1. Experienced at handling Data Warehouse and Data Workflow tools such as Azure Data Factory, Airflow, Snowflake and Google Cloud Composer.

2. Proficiency in object-oriented languages like Python, Java, C++, Scala, etc.

3. Proficiency in software like SQL Server, Oracle Database, or MySQL.

4. Mastering the GCP Core Services: Data Ingestion and Streaming, Data Storage & BigQuery, Data Processing and Transformation (Dataflow, Dataproc and Dataplex), Orchestration Workflow (Cloud Composer), and IAM and Security.
   

Requirements:

1. Bachelor's Degree in IT or a related field with a minimum GPA of 3.00

2. Minimum 2 – 3 years of experience as an IT Data Analyst/Data Engineer.

3. Proficient in English, both written and spoken.

4. Willing to work fully onsite at Pulomas, East JakartaPlacement: Pulomas, East Jakarta