Description:

Provide technical expertise in data engineering, guiding tool and technology selection.
Collaborate with stakeholders to define project requirements and create plans.
Support project managers in executing projects effectively, monitoring progress, and identifying risks.
Oversee design and architecture of data solutions, ensuring scalability and efficiency.
Conduct code reviews and align coding standards for quality assurance.
Optimize data processing and storage for performance and cost savings.
Maintain technical documentation and ensure compliance with security standards.

Requirements:

Bachelor's or master's degree in computer science, Information Systems, or related field; cloud certifications are a plus.
Minimum of 9+ years of experience in data engineering or related field.
Proficiency in programming languages such as Python, SQL, and Pyspark.
Familiarity with Azure cloud platform (Databricks, Data Factory, Data Lake).
Expertise in ETL frameworks, data pipelines, and data warehousing solutions.
In-depth knowledge of data management principles, governance, and integration.
Excellent problem-solving, analytical, and communication skills.
Knowledge of data security and privacy regulations.
Continuous learning mindset and consulting exposure preferred.

Stable employment with a company established since 2008, 1300+ talents globally.
100% remote work with flexible hours.
Comprehensive online onboarding and access to Udemy learning platform.
Certificate training programs and upskilling support with 110+ training opportunities yearly.
Opportunities for internal promotions and career growth.
A diverse, inclusive community with autonomy in work methods.
Well-being activities and opportunities to support charities.

Skills