Description

Responsibilities:

•       Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

•       Support and monitor the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and GCP ‘big data’ technologies.

•       Work with data and analytics experts to strive for greater functionality in our data systems.

•       Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

•       Developing, supporting and monitoring data pipelines.

•       Work closely with client to discover needs, collect appropriate data, and deliver valuable data products.

•       Provide valuable insights from data sets quickly.

•       Communicate complex findings and ideas in plain language and visualizations that is friendly to business and operational audiences.

Must Have Skills:

•       Strong skills in Python/PySpark

•       Strong Experience in SQL

•       Experience with data pipeline and workflow management tool: GCP Data Proc, Composser and GCS

•       Strong experience in handling window function in SQL

•       BigQuery Experience (may not be expert)

•       To work on data engineering solutions to leverage best practices and industry-leading tools and technologies to profile data, develop efficient ingestion, and build semantic data layers

Key Skills

Education

Bachelor's degree