Freelance Data Engineer

Indonesia·Jakartamid

Data EngineerData

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Quick Summary

Key Responsibilities

● Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data. ● Manage and optimize databases, data warehouses, and data lakes (SQL/NoSQL, BigQuery, etc.).

Technical Tools

bigquerygcpmongodbmysqlpostgresqlpythonpytorchscikit-learnsqltensorflowdatabase-designdistributed-systemsetllinuxmachine-learningrest-apissecurity-best-practices

Responsibilities:

● Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data.

● Manage and optimize databases, data warehouses, and data lakes (SQL/NoSQL, BigQuery, etc.).

● Ensure data quality, governance, and reliability through validation, monitoring, and automation.

● Optimize pipelines and queries for large datasets and high-volume transactions.

● Explore and analyze datasets using statistical methods to identify trends and insights.

● Build, validate, and fine-tune predictive and prescriptive machine learning models relevant to the business.

● Deploy models into production by integrating them with data pipelines and business applications.

● Communicate findings and recommendations through dashboards, visualizations, and reports.

● Set up, maintain, and monitor Google Cloud Platform services (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Composer).

● Manage ETL workflows on GCP, ensuring reliability, scalability, and cost efficiency.

● Implement security, access control, and compliance in cloud-based data systems.

● Collaborate with cross-functional teams (business, sales, operations) to ensure data is actionable and accessible.

Requirements & Qualifications:

● Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience).

● Minimum 2+ years of experience in Data Engineering, especially in data modeling, warehousing, and distributed systems.

● Strong proficiency in Python (for data pipelines, ML).

● Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB) and experience with ClickHouse is a plus.

● Familiarity with RESTful APIs (design, development, integration).

● Familiarity with machine learning frameworks (TensorFlow, scikit-learn, PyTorch).

● Hands-on expertise with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Composer, Cloud Storage); experience in GCP infra setup is a strong plus.

● Proficient in Linux-based servers and deployment workflows.

● Skilled in Git/Bitbucket for version control and collaborative development.

● Experience implementing security best practices in both web applications and data infrastructure.

● Strong problem-solving, analytical, and collaboration skills.

● Experience with Zoho Deluge scripting is a plus.