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- Work with product managers and data analysts to design data-related products.
- Communicate with engineers, product managers and product analysts to understand data needs.
- Buildup data expertise and own data quality for allocated areas.
- Design, build and launch new data ETL processes in production.
- Support existing streaming and batch system in production, solve the on-call issues.
- Define and manage SLA for all data sets in allocated areas.
- Work with data infrastructure to triage infra issues and drive to resolution.
- Support daily project management, assist junior engineers in business and technical problems.Qualifications:Minimum Qualifications
- Bachelor's degree in technical field, Computer Science or Mathematics.
- At least 3 years of experience in the data warehouse space and experience in custom ETL design, implementation and maintenance and 3 years of experience with SQL statements.
- At least 2 years of experience working with big data technologies such as Hadoop, Hive, Spark, etc.
- At least 2 years of experience with schema design and dimensional data modeling.
- Proficient in one of the programming languages such as Python, Java or C++.
- Good communication skills, including the ability to identify and communicate data driven insights.
- Ability to manage and communicate data warehouse plans with internal clients.
- Work with product managers and data analysts to design data-related products.
- Communicate with engineers, product managers and product analysts to understand data needs.
- Buildup data expertise and own data quality for allocated areas.
- Design, build and launch new data ETL processes in production.
- Support existing streaming and batch system in production, solve the on-call issues.
- Define and manage SLA for all data sets in allocated areas.
- Work with data infrastructure to triage infra issues and drive to resolution.
- Support daily project management, assist junior engineers in business and technical problems.Qualifications:Minimum Qualifications
- Bachelor's degree in technical field, Computer Science or Mathematics.
- At least 3 years of experience in the data warehouse space and experience in custom ETL design, implementation and maintenance and 3 years of experience with SQL statements.
- At least 2 years of experience working with big data technologies such as Hadoop, Hive, Spark, etc.
- At least 2 years of experience with schema design and dimensional data modeling.
- Proficient in one of the programming languages such as Python, Java or C++.
- Good communication skills, including the ability to identify and communicate data driven insights.
- Ability to manage and communicate data warehouse plans with internal clients.