Senior Data & Reporting Engineer
Bangsar South
Razer
Cutting-edge technology✅ Excellent engineering✅ Sustainable✅ Shop Razer's catalogue of headsets, laptops and tech gear for gaming, work and leisure.Joining Razer will place you on a global mission to revolutionize the way the world games. Razer is a place to do great work, offering you the opportunity to make an impact globally while working across a global team located across 5 continents. Razer is also a great place to work, providing you the unique, gamer-centric #LifeAtRazer experience that will put you in an accelerated growth, both personally and professionally.
Job Responsibilities :
As a Sr. Data & Reporting engineer, you are responsible for designing, developing, and maintaining data reporting systems and data sources. You will transform raw data into meaningful reports and visualizations that support decision-making and business strategies.- Design, develop, verify, and deliver ad-hoc or automated operation reports, maintaining the highest quality, accuracy, and reliable in a timely way
- Collaborate with stakeholders to determine requirements, estimate level of efforts, and implement solutions for data analysis, reporting, scheduled jobs and data integration across various systems
- Develop, enhance, and maintain large and complex ETL scripts and datasets
- Work closely with software developers to manage and document data models as per the standards, and manage data dictionary and entity relationship
- Maintain data integrity includes performs extensive data validation, cleansing, quality assurance, and reconciliation
- Conduct troubleshooting on internal, external and data processes to identify and resolve data issues
- Identify opportunities to improve data management technologies
- Manage data access and delivery per data security policies
- Assists to re-engineer and manage data pipelines architecture, data lake and data warehouses as needed
Pre-Requisites :
- Bachelor’s Degree in Computer Science, Information Technology or equivalent.
- Minimum of 3 years working experiences in data technologies, reporting tools, relational databases, ETL, data lake and data warehousing
- Strong skill and knowledge in SQL, stored procedures, and capable of designing complex and performant SQL queries
- Experience in at least one or more languages: Python, PySpark or C#.NET.
- Experience in AWS technologies such as AWS Glue, Kinesis, lambda, Firehose, Redshift, S3, EC2 instances, EMR, and DMS.
- Demonstrated analytical mind to work with large amounts of structured and unstructured data: facts, figures, and number crunching
- Passionate about data and analyzing business needs
- Excellent communication skills including written, verbal and presentation
Are you game?
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS AWS Glue Computer Science Data analysis Data management Data pipelines Data Warehousing EC2 ETL Firehose Kinesis Lambda Pipelines PySpark Python RDBMS Redshift Security SQL Unstructured data
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