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Popular data-engineer role, hybrid work, and broad skill requirements increase applicant competition.
Core data engineering skills (SQL, Python, ETL) are highly transferable across industries.
Explicit 6+ years requirement plus mandatory tech skills and leadership increases shortlisting strictness.
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Lead design and implementation of scalable, efficient, and robust data architectures and pipelines to support business needs and analytics.
Manage data warehouses, lakes and ensure data integrity, security, and compliance with governance standards.
Provide technical leadership including mentoring junior engineers and conducting code reviews to maintain high-quality data engineering practices.
6+ years of experience in data engineering roles.
Bachelor's degree in computer science, Information Technology, or a related field.
Proficiency in SQL, Python, and experience with databases, data warehouses, Azure Data Factory and/or Apache Airflow.
Effective English communication skills (verbal and written).
Experienced in end-to-end data pipeline development, optimization, and data governance within complex environments.
Skilled at translating ambiguous business requirements into structured data models and actionable insights, including visualization support using Power BI.
Proven ability to lead, mentor teams remotely across time zones in Agile setups, and participate in on-call rotational schedules.