Freelance Data Engineer
5 days ago
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.
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