BIG FISH GAMES – $173,909.00/Year

Four years of experience engineering cloudbased data pipelines. Experience must include each of followingbr 1. Four years of experience developing Extract Transform Load ETL procedures and performing analytics, including API integrations and streaming data analytics, using SQL and either Python or Java.br 2. Three years of experience in cloud architecture and design for developing and maintaining data pipelines on technologies includingbr a. 2 years of experience in PubSub or Kafkabr b. 2 years of experience in Snowflake or other cloudbased data warehouse such as Amazon Redshift Amazon Web Servicesbr c. 2 years of experience in Looker, Tableau, or Power BIbr d. 1 year of experience in Dataflow or other streaming analytics tech such as Amazon Kinesis Amazon Web Servicesbr e. Experience with cloud migration or data pipeline migration at least one major migration completed end to endbr 3. Three years of experience overseeing design, development, implementation, integration, and migration of database and reporting applications, including providing guidance on industry best practices for building robust, scalable, and secure architecture.br 4. Two years of experience transforming business needs into data solutions by translating business requirements from Product teams into technical and functional specifications, including communicating crossfunctionally with technical and nontechnical audiences.br 5. One year of experience in statistical analysis and Machine Learning model building, including forecasting, process reengineering, experiments design using Python programming language and Big Data Cloud technologies such as BigSQL, Kafka, BigQuery or similar technology stack such as Amazon Sagemaker or Amazon Redshift Amazon Web Services.br 6. One year of experience leading a team of data engineers, including full time employees and nearshoreoffshore contractors, to deliver endtoend data reporting and analysis solutions; managing team output by owning project scoping, planning, and delivery estimation; and assigning team resources based on competing business priorities to achieve the optimal business impact.br br Experience may be gained concurrently.