Design and implement robust and scalable data models that support business intelligence, machine learning, and operational needs
Collaborate closely with business teams to translate their data needs into clean, structured, and well-documented models
Experience building and maintaining both batch and streaming ETL pipelines
Work closely with Data Platform Engineers (DPEs) and Product Managers (PMs) to identify root causes of data issues and provide efficient, scalable solutions
Participate in and contribute to data governance strategies, policies, and standards
Familiarity with key pillars of traditional data governance
Basic understanding of AI and how data engineering and AI can work together

Requirements

Bachelor’s degree or higher in Computer Science, Information Systems, Finance, Maths or a related field
Minimum 5 years of proven experience designing and implementing ETL pipelines using tools such as Informatica, Talend, Apache NiFi, or similar data integration platforms
Proficiency in SQL, database management systems (e.g., MySQL, PostgreSQL, Oracle), and data warehousing solutions
Familiarity with Google Cloud Platform (GCP), specifically BigQuery and Airflow
Excellent problem-solving skills, with a keen attention to detail and a commitment to producing high-quality work
Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, team-oriented environment
Outstanding verbal communication skills, with the ability to effectively collaborate with globally distributed teams

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingETL pipelinesSQLdatabase management systemsdata warehousingmachine learningdata governanceAIbatch processingstreaming

Soft Skills

problem-solvingattention to detailcommunicationcollaborationteam-oriented