Data Engineer

McEasy; Surabaya ꦱꦸꦫꦧꦪ; Hybrid; IDR 200.000.000 - 300.000.000; Full time

Job summary

A technology solutions company in Surabaya is seeking an experienced Data Engineer to design, develop, and maintain ETL processes. You will collaborate with cross-functional teams to ensure data quality and facilitate informed decision-making. The ideal candidate has over 5 years of experience in data engineering, strong SQL skills, and familiarity with ETL tools and cloud platforms. A competitive salary and flexible work arrangements are offered.

Benefits

Competitive salary and benefits package

Professional growth and development opportunities

Flexible work arrangements

Qualifications

• Min. 5 years of experience in Data Engineering field.
• Proven experience as a Data Engineer with a focus on ETL processes.
• Familiarity with cloud platforms and data warehousing solutions.

Responsibilities

• Design, develop, and optimize ETL pipelines.
• Collaborate with teams to understand data requirements.
• Monitor and troubleshoot ETL processes.

Skills

SQL

Data Engineering

Problem-solving

Communication

Collaboration

Education

Bachelor’s degree in Computer Science

Tools

Apache Airflow

Talend

Informatica

AWS

GCP

Azure

MySQL

PostgreSQL

Job description

As a Data Engineer at McEasy, you will play a crucial role in designing, developing, and maintaining our ETL (Extract, Transform, Load) processes. You will work closely with our engineering, data science, and product teams to ensure the smooth and efficient flow of data across our systems. Your work will directly impact our ability to provide actionable insights and drive informed decision-making.

Job Description:

• Design, develop, and optimize ETL pipelines to extract data from various sources, transform it into usable formats, and load it into our data warehouse.
• Collaborate with cross-functional teams to understand data requirements and implement solutions that meet business needs.
• Ensure data quality, integrity, and consistency by implementing best practices in data validation, cleansing, and transformation.
• Monitor and troubleshoot ETL processes to ensure data is accurate, timely, and reliable.
• Develop and maintain documentation for ETL processes, data flows, and data models.
• Identify opportunities to improve existing ETL processes and implement enhancements for scalability and performance.
• Work with data analysts and data scientists to provide them with the necessary data for reporting and analysis.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Min. 5 years of experience in Data Engineering field
• Proven experience as a Data Engineer or in a similar role, with a focus on ETL processes.
• Strong proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with ETL tools and technologies (e.g., Apache Airflow, Talend, Informatica).
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
• Proficiency in programming languages such as Python or Java.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

What We Offer:

What We Offer

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge technology and innovative solutions.
• Collaborative and inclusive work environment.
• Professional growth and development opportunities.
• Flexible work arrangements (hybrid).