Job Description:
About the department
The Data Engineering department is responsible for full-stack design and development of the company's central data & ML services and business platforms. The department is responsible for the overall projects, design, architecture and development of huge scale and very challenging cloud-based Big Data, machine learning and business applicative platforms for ensuring excellence in the performance of business aspects including games & product design, marketing, retention, monetization, etc. Department solutions support the optimization of the company's overall business performance.
Responsibilities
Lead the data solution, technical design and development for the company data platform.
Design, Develop and Operate the data pipelines required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources.
Build end to end data solutions by translating business requirements into technical solutions.
Design and build heavily used reports, visualizations and dashboards
Hands-on development and delivery of BI solutions using BI technologies (Qlik Sense/Looker/Tableau)
Understand business needs and translate them into BI-based solutions.
Perform research and POC’s on new data tools and technologies.
Support Data Science team: Assist in deploying, integrating, and monitoring machine learning / AI models.
Job Qualifications:
4+ years of hands-on experience in Python and SQL – Must
Expert in writing efficient sql queries and optimize performance (SparkSQL/BigQuery - advantage) - Must
Experience in developing ETL processes - Must
Team player with a can-do attitude
Bachelor’s degree in Computer Science or related
Experience working on cloud solutions AWS and Azure (GCP a big advantage)
Desired
4+ years of experience in developing BI dashboards and complex measures in Qlik Sense/Looker/Tableau or other data visualization solutions (Qlik Sense- advantage) - Advantage
Experience building semantic layer
Statistic background in the data science area
Experience working with notebook solutions (Databricks, Jupyter, Zeppelin)
Experience working in Agile Scrum methodologies
Analyst / data storytelling experience
Company Occupation:
High Tech, Software
Company Size:
Large (150+)