Data Engineer

As An ETL Engineer, You Will Be Excited To
Design and develop scalable business data solutions across the entire data supply chain.
Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).
Solve for complex data integrations across multiple systems.
Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.
Expertise (can teach/instruct others): in current data warehousing concepts (using technologies like Redsift, Spark, Hadoop, web services, etc to support business-driven decisioning)
SQL and database scripting
With data manipulation scripting languages (like Python or Scala)
With Data Science toolsets and technology stacks
Minimum Qualifications
We are excited to welcome the dynamic robust Data Engineer who has:
Passionate and curious individual in Data Engineering and Analytics subject areas
1-2 years of any relevant experiences in Data Engineering, Data Warehouse, Business Intelligence, Analytics
High proficiency with SQL and RDBMS with some baseline knowledge in data architecture and data modeling
Ability to write robust and scalable code in Python or other scripting programming language
Experience on building any data visualization using Tableau, Power BI, Data Studio, etc is a plus.
Experience in using Periscope data is a big plus
Experience in using Redsift Spark, Hadoop, apache.
Team player and strong communicator with business to understand business needs
Exposure in DevOps or infrastructure setup experience is a plus
Familiar using cloud infrastructure such as AWS, Google Cloud Platform, Azure, etc is a plus