Bachelors degree in Computer Science Engineering or related technical field
3+ years of relevant experience with ETL, data modeling, and business intelligence architectures and experience in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies.
Experience building self-service reporting solutions using business intelligence software (e.g., OBIEE, Tableau Server, Micro Strategy etc.).
Experience with Big Data solutions: Hadoop, Pig/Hive or other frameworks
Exceptional troubleshooting and problem-solving abilities.
Excellent written and verbal communications skills.
Demonstrated ability to work effectively across various internal organizations.
Experience with Redshift/BigQuery a plus.
Experience with scripting languages like Python or Unix shell scripts.
Experience with applied data science or machine learning.
Experience with web technology to develop dashboards.
Demonstrated experience in dealing with Senior Management on addressing their reporting and metrics requirements.
Understand Machine Learning concepts and developed applications involving ML.
Deep Learning a plus.
The team is highly results oriented, and is focused on leveraging in-house technology in order to automate and scale marketing programs that drive new customers and maximize lifetime value of redbus customers through measurable marketing programs and channels.
As a Data Engineer with our team, you will be working in a large, extremely complex, and dynamic data warehousing environment. We are looking for someone with the uncanny ability to build efficient, flexible, and scalable data warehouse and reporting solutions. The candidate should be enthusiastic about learning new technologies and be able to implement solutions using these technologies to empower internal customers and scale the existing platform. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing reporting applications. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive growth.
Design, implement, and support data warehouse infrastructure using Oracle and AWS (Redshift) technologies.
Create ETLs to take data from various operational systems and create a unified dimensional or star schema data model for analytics and reporting
Use business intelligence and visualization software (e.g., OBIEE, Micro Strategy, etc.) to empower non-technical, internal customers to drive their own analytics and reporting
Develop a deep understanding of our vast data sources and know exactly how, when, and which data to use to solve particular business problems.
Monitor and maintain database security and database software
Support the development of performance dashboards that encompass key metrics to be reviewed with senior leadership and sales management
Work with Product Managers, Business Analysts, and a growing global team to help in analyzing data and derive new insights that drive our consumer marketing global success.
Manage numerous requests concurrently and strategically, prioritizing when necessary
Salary: Not Disclosed by Recruiter
Industry: Internet / Ecommerce