Position: Senior Data Engineer
Company: Sphere
Category: Data Engineer
Experience required: 5y
English level: upper

Sphere partners with Clients to transform their organizations, embed technology and process into everything they do, and enable lasting competitive advantage. We combine global expertise and local insight to help people and companies to turn their ambitious goals into reality. At Sphere we put people first and strive to be a changemaker by building a better future through innovation and technology. Sphere is helping a known multinational company to innovate and bring new platforms to market and is looking for a Data Engineer who will join our team.

Type: Hire
Location: Remotely
Start date: ASAP

Responsibilities include but are not limited to:
- Integrate third-party API or batch data sources into our data platform that drives business metrics across the company for product insights, marketing effectiveness, fraud prevention, financial reporting, compliance, and operational monitoring;
- Define and implement policies for how information in our data warehouse is collected, stored, organized, transformed, distributed and consumed;
- Establish a data analysis framework using machine learning that combines behavior data, transaction monitoring and third party fraud intelligence to drive business decisions around security, fraud and compliance;
- Implement robust automated data integrity mechanisms to reconcile multiple data sources, and be comfortable investigating complex data discrepancies.
- Collaborate with internal subject matter experts across the business to develop a broad understanding of data needs.

Requirements:
- Experience of working Data Engineer (4+);
- Strong knowledge of SQL databases such as MySQL and data warehouses such as Snowflake or Redshift; 
- Strong knowledge of ETL or data orchestration tools such as Airflow, dbt or Matillion;
- Experience with noSQL databases such as MongoDB or DynamoDB;
- Experience with Python; 
- Experience with AWS; 
- Experience with streaming data solutions such as Kinesis, Kafka, or Spark; 
- Knowledge of machine learning solutions, preferably AWS Sagemaker;

Sphere offers a competitive and rewarding salary and benefits package, as well as an intellectually and creatively stimulating work environment, flexibility, and unique international travel opportunities