Senior Data Engingger GCP, Bigquery

PT Platinumetrix Global Inovasi; Jakarta Selatan; On-site; IDR 167,400,000 - 245,520,000; Full time

Job summary

PT Platinumetrix Global Inovasi is seeking a Data Engineer to create and maintain an optimal data architecture, collect complex data, and design scalable infrastructure for the company's needs. You will develop ETL pipelines from SQL and AWS data sources, build analytics tools, and work with executives, product and design teams to support data infrastructure and security.

Role is full-time and on-site in Jakarta, with the goal of enabling data-driven decisions across business units.

Qualifications

• Diploma or Bachelor in Computer Engineering, Informatics Engineering, Computer Science, mathematics, statistics or related fields.
• Minimum 4 years of experience as a Data Engineer.
• Deep understanding of ETL and Data Warehousing concepts (fact, dimension, star/snowflake, SCD).
• Strong communication skills and ability to work with minimal supervision.
• Experience with ETL tools (e.g., Talend) and relational databases (PostgreSQL, MySQL).

Responsibilities

• Create and maintain an optimal data architecture for the company.
• Collect complex data for functional and non-functional needs.
• Identify, design and implement development processes including automation and scalable infrastructure.
• Develop ETL/ELT infrastructure for sources such as SQL and AWS big data technologies.
• Build data pipeline analysis tools to provide insights into acquisition, operations, and metrics.
• Collaborate with executives, product and design teams to address data needs and ensure security.

Skills

Data engineering

Communication skills

Independent worker

ETL concepts

Education

Diploma or Bachelor in Computer Engineering / Informatics / Computer Science / Mathematics / Statistics

Tools

Talend

PostgreSQL

MySQL

Job description

Create and maintain an optimal data architecture.

Collect complex data for the functional and non-functional needs of the company.

Identify, design, and implement the development process which includes process automation, optimization of data provision, redesign of scalable infrastructure, and so on.

Develop optimal infrastructure for the needs of extracting, transforming, and loading data from various sources such as SQL and AWS big data technologies.

Build a data pipeline analysis tool that can provide insights into the customer acquisition process, operational efficiency, and other metrics used to measure the company's business performance.

Work closely with company executives, product teams, and design teams to address data-related issues and support data infrastructure needs.

Perform data separation and ensure data security in various data centers.

Contribute to product development and optimization by data analysts and data scientists by creating data analysis tools.

Collaborate with data and analytics experts to create more functional data systems.

Job Description

Create and maintain an optimal data architecture.

Collect complex data for the functional and non-functional needs of the company.

Identify, design, and implement the development process which includes process automation, optimization of data provision, redesign of scalable infrastructure, and so on.

Develop optimal infrastructure for the needs of extracting, transforming, and loading data from various sources such as SQL and AWS big data technologies.

Build a data pipeline analysis tool that can provide insights into the customer acquisition process, operational efficiency, and other metrics used to measure the company's business performance.

Work closely with company executives, product teams, and design teams to address data-related issues and support data infrastructure needs.

Perform data separation and ensure data security in various data centers.

Contribute to product development and optimization by data analysts and data scientists by creating data analysis tools.

Collaborate with data and analytics experts to create more functional data systems.

Minimum Qualifications

• Have a Diploma or Bachelor degree in Computer Engineering, Informatics Engineering, Computer Science, mathematics, statistics or other related degrees

  Having minimum 4 years experiences as Data engineer

  Having deep understanding in ETL and Data Warehousing Concept (fact, dimension, star schema / snowflake schema, SCD) and development flow

  Having good communication skills

  Able to work under minimum supervision

  Experience using ETL tools (Talend, etc.)

  Experience using relational databases (PostgreSQL, mySQL, etc.)

  Full WFO at Central Jakarta

Unlock job insights

Hirer responsiveness Salary match Number of applicants

Information Technology Services 11-50 employees

The company is a boutique analytics and data science practice and the provider of big data analytics solutions involving in the various business engagement in Telecommunication, Banking, FMCG, Manufacturing, Healthcare and other indutries.

The company is providing a tailor-made end to end solutions with strong execution, experience resources and a dedicated approach to meet and exceed the client needs. The Core Team Expertise has 40 years experience across different domains to handle complex data problems, new age technology, big data capabilities, process management and vertical functions.

The company vision are to develop a strategic partnership with our customers in providing complex data decision solution, deploy the right mix of science & technology, process management, domain knowledge experts to devise the most optimal strategy in coping to your business needs and deliver solutions to help customer making a better decision.

The company is a boutique analytics and data science practice and the provider of big data analytics solutions involving in the various business engagement in Telecommunication, Banking, FMCG, Manufacturing, Healthcare and other indutries.

The company is providing a tailor-made end to end solutions with strong execution, experience resources and a dedicated approach to meet and exceed the client needs. The Core Team Expertise has 40 years experience across different domains to handle complex data problems, new age technology, big data capabilities, process management and vertical functions.

The company vision are to develop a strategic partnership with our customers in providing complex data decision solution, deploy the right mix of science & technology, process management, domain knowledge experts to devise the most optimal strategy in coping to your business needs and deliver solutions to help customer making a better decision.

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