Roles and Responsibilities :
- Define standards, methodologies for Data Management environment
- Design and build data structures on RDBMS like SQLServer, Mysql as well as MPP platform like SPARK, BigQuery to provide efficient reporting and analytics capability
- Lead the design for database and data pipeline/ETL using existing and emerging technologies and tools
- Bring structure to large quantities of data to make analysis possible, extract meaning from data to help improve decision making
- Drive the team to develop operationally efficient analytic solutions
- Develop & execute the required analytical algorithms, techniques for analytics solutions
- Manage project timelines and provide timely updates on significant issues or developments
- Lead and mentor people and plan their career growth and focus on creating a cohesive team environment
An ideal candidate will be/have:
- Experience with big data platforms and tools (e.g. Spark R, Python) is preferred but not mandatory
- Sound knowledge of Database administration like MySQL Server, MSSQL server, HDFS, PostgreSQL; Knowledge of the ETL process and implementation
- Stay up-to-date with the latest tools and techniques in data science and Proficiency in Microsoft Excel, PowerPoint, SQL, SAS, Python; Hands-on experience on Excel VBA, Dashboard development
- Strong coding skills in a language such as Python
- Experience with at-least one Cloud platform of the following Azure, AWS, GCP
- Strong problem-solving ability
- Project Management skills
- Team Management skills
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