Job Responsibilities

Inform, influence, support, and execute our product decisions

Maintain advertising data integrity by working closely with R&D to organize and store data in a format that provides accurate data and allows the business to quickly identify issues.

Evaluate and prototype new technologies in the area of data processing

Think quickly, communicate clearly and work collaboratively with product, data, engineering, QA and operations teams

High energy level, strong team player and good work ethic

Data analysis, understanding of business requirements and translation into logical pipelines & processes

Identification, analysis & resolution of production & development bugs

Support the release process including completing & reviewing documentation

Configure data mappings & transformations to orchestrate data integration & validation

Provide subject matter expertise

Document solutions, tools & processes

Create & support test plans with hands-on testing

Peer reviews of work developed by other data engineers within the team

Establish good working relationships & communication channels with relevant departments

Skills and Qualifications we look for

4 - 6 years experience with data engineering.

Strong coding ability and software development experience in Python.

Strong hands-on experience with SQL and Data Processing.

Google cloud platform (Cloud composer, Dataflow, Cloud function, Bigquery, Cloud storage, dataproc)

Good working experience in any one of the ETL tools (Airflow would be preferable).

Should possess strong analytical and problem solving skills.

Good to have skills - Apache pyspark, CircleCI, Terraform

Motivated, self-directed, able to work with ambiguity and interested in emerging technologies, agile and collaborative processes.

Understanding & experience of agile / scrum delivery methodology

Job Category : Technology Group

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