Data Engineer – Data Pipelines and Analytics

Acronis is a world leader in cyber protection—empowering people with cutting-edge technology that enables them to monitor, control, and protect the data that their businesses and lives depend on. We are looking for a Data Engineer who is ready to join our mission in creating a #CyberFit future! 

We are seeking a skilled Data Engineer to join our Performance Engineering team. In this role, you will be responsible for designing data schemas, managing data sources, and controlling data flows across our Data Warehouse. You will collaborate closely with Product Managers, Platform Engineers, and BI teams to ensure efficient data management and support business analysts with data-driven insights, leveraging data science models to inform business decisions.

WHAT YOU'LL DO 

Internal Data Warehouse business model ownership

• Data schema design and ownership, including comprehensive schema documentation
• Investigation of current products data flows and operational databases which are subject of data semantic, lineage etc
• Mediation between Services team, DWH developers and BI team to quickly resolve issues or introduce changes in data model

Data governance & Data quality

• Introducing an automated data quality control, including anomalies detection and data loss
• Business support of data loss incidents troubleshooting or data migration
• Defining requirements for systems and services analytics
• Data analysis
• Manual and automated DWH data analysis and insights search
• Search for hidden dependencies (correlations) of clients behaviour based on their cohorts when interacting with the product
• Participation in the creation of business metrics and their visualization (dashboard) for decision making

WHAT YOU BRING (EXPERIENCE & QUALIFICATIONS)  

• Strong experience in Data Warehouse architecture, schema design, and ETL processes.
• Expertise in SQL, with the ability to write and optimize complex queries.
• Proficiency in Python for data manipulation, analysis, and building data pipelines.
• Experience with Git for version control.

WOULD BE A PLUS:

• Experience with Hadoop, Hive, or PySpark.
• Experience with tools like Confluence and Jira.
• Familiarity with machine learning frameworks such as Scikit-learn, TensorFlow (Keras), or PyTorch

WHO WE ARE 

Acronis is a global cyber protection company that provides natively integrated cybersecurity, data protection, and endpoint management for managed service providers (MSPs), small and medium businesses (SMBs), enterprise IT departments and home users. Our all-in-one solutions are highly efficient and designed to identify, prevent, detect, respond, remediate, and recover from modern cyberthreats with minimal downtime, ensuring data integrity and business continuity. We offer the most comprehensive security solution on the market for MSPs with our unique ability to meet the needs of diverse and distributed IT environments.

A Swiss company founded in Singapore in 2003, Acronis offers over twenty years of innovation with 15 offices worldwide and more than 1800 employees in 50+ countries. Acronis Cyber Protect is available in 26 languages in 150 countries and is used by over 20,000 service providers to protect over 750,000 businesses.

Our corporate culture is focused on making a positive impact on the lives of each employee and the communities we serve. Mutual trust, respect and belief that we can contribute to the world everyday are the cornerstones of our team. Each member of our “A-Team” plays an instrumental role in driving the success of our innovative and expanding business. We seek individuals who excel in dynamic, global environments and have a never give up attitude, contributing to our collective growth and impact.

Acronis is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, marital status, national origin, physical or mental disability, medical condition, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, gender identity or expression, or any other characteristic protected by applicable laws, regulations and ordinances. 

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