ETL Developer

Compensation

Not disclosed

Location

Not listed

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

3+ years

Skills

automation
aws
azure
bash
cloud
data-governance
data-lake
data-modeling
data-pipelines
data-quality
data-warehousing
etl
gcp
oracle
postgresql
python
sql
sql-server
ssis
talend

Must have

· Willing to be placed at the Yogyakarta office is a must
· Bachelors degree in Computer Science, Information Systems, or related field.
· 3+ years of experience in ETL development using tools such as Informatica, Talend, SSIS, or similar.
· Proficient in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.).
· Experience with scripting languages (Python, Shell) for automation.
· Strong knowledge of data modeling, data warehousing concepts, and data governance.
Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
Scoper of Work:
· Design, develop, and maintain ETL processes and data pipelines.
· Extract, transform, and load data from various sources into data warehouses or data lakes.
· Optimize ETL performance and ensure scalability and reliability.
· Collaborate with data architects, analysts, and other stakeholders to understand requirements.
Troubleshoot and resolve data quality and data integration issues.

Full description

Requirements:

· Willing to be placed at the Yogyakarta office is a must

· Bachelors degree in Computer Science, Information Systems, or related field.

· 3+ years of experience in ETL development using tools such as Informatica, Talend, SSIS, or similar.

· Proficient in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.).

· Experience with scripting languages (Python, Shell) for automation.

· Strong knowledge of data modeling, data warehousing concepts, and data governance.

Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

Scoper of Work:

· Design, develop, and maintain ETL processes and data pipelines.

· Extract, transform, and load data from various sources into data warehouses or data lakes.

· Optimize ETL performance and ensure scalability and reliability.

· Collaborate with data architects, analysts, and other stakeholders to understand requirements.

Troubleshoot and resolve data quality and data integration issues.

ETL Developer

Compensation

Not disclosed

Location

Not listed

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

3+ years

Skills

automation
aws
azure
bash
cloud
data-governance
data-lake
data-modeling
data-pipelines
data-quality
data-warehousing
etl
gcp
oracle
postgresql
python
sql
sql-server
ssis
talend

Must have

· Willing to be placed at the Yogyakarta office is a must
· Bachelors degree in Computer Science, Information Systems, or related field.
· 3+ years of experience in ETL development using tools such as Informatica, Talend, SSIS, or similar.
· Proficient in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.).
· Experience with scripting languages (Python, Shell) for automation.
· Strong knowledge of data modeling, data warehousing concepts, and data governance.
Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.
Scoper of Work:
· Design, develop, and maintain ETL processes and data pipelines.
· Extract, transform, and load data from various sources into data warehouses or data lakes.
· Optimize ETL performance and ensure scalability and reliability.
· Collaborate with data architects, analysts, and other stakeholders to understand requirements.
Troubleshoot and resolve data quality and data integration issues.

Full description

Requirements:

· Willing to be placed at the Yogyakarta office is a must

· Bachelors degree in Computer Science, Information Systems, or related field.

· 3+ years of experience in ETL development using tools such as Informatica, Talend, SSIS, or similar.

· Proficient in SQL and database technologies (Oracle, SQL Server, PostgreSQL, etc.).

· Experience with scripting languages (Python, Shell) for automation.

· Strong knowledge of data modeling, data warehousing concepts, and data governance.

Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.

Scoper of Work:

· Design, develop, and maintain ETL processes and data pipelines.

· Extract, transform, and load data from various sources into data warehouses or data lakes.

· Optimize ETL performance and ensure scalability and reliability.

· Collaborate with data architects, analysts, and other stakeholders to understand requirements.

Troubleshoot and resolve data quality and data integration issues.