Database Developer

Database Developer As a Data Engineer, you will guide the business on how to ingest, store, process, analyze, explore, and visualize data on the AWS Cloud Platform. You will work on data migrations and transformational projects, and with developers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform issues. The Team Together with the team you will support implementation of AWS Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring and much more. The cloud platform team looks to build out next-generation hybrid data platform by leveraging new technologies and techniques to maximize the value out of data assets and empower employees to innovate. The Expertise You HaveBA/BS degree in Computer Science, database or related technical field, or equivalent practical experience Experience with relational databases, primarily Oracle, but including Postgres, MySQL, and Microsoft SQL Server Experience in writing software in one or more languages such as Java, C++, Python, Perl, Go and/or JavaScriptExperience with Redshift, S3, Kinesis, Aurora, DynamoDB, Elastic Search, Data Dog, Redis, Lambda, Firehose Experience managing internal or client-facing projects to completion; experience troubleshooting clients' technical issues; experience working with engineering teams, sales, services, and customers The Skills You Bring Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments such as Amazon Web Services, Azure and AWS Cloud Platform. Experience working with cloud data platforms, such as Snowflake Experience with Apache Airflow DAG creation and deployment The Value You Deliver Identify and respond to data needs for business users to use the analytics environment Work with data architects to design and implement solutions to ingest, transform, connect, store and expose data to range of users Incorporate new data sources by building pipelines for automated and semi-automated data ingestion and data refresh Maintain existing scripts and develop new scripts in SQL, Python, and other languages as appropriate to parse, clean, transform, and load data Develop and implement tests to ensure data quality and proper governance across all integrated datasets