Lead Data Engineer

Job Description: You have an opportunity to work remotely as a Data Engineer for Forbes Advisor, a part of the Forbes Marketplace. As a Data Engineer, you will be responsible for assembling large, complex data, identifying and implementing internal process improvements, and working with stakeholders to meet data-related technical needs. Responsibilities: - Assemble large, complex data that meet functional/non-functional business requirements. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing transformation for greater scalability, etc. - Use the infrastructure/services required for optimal extraction, transformation, and loading of data from a wide variety of data sources using GCP services. - Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data requirement needs. Requirements: - Bachelors degree with Minimum 1.5+ years of experience working in globally distributed teams successfully - Must have experience working on Python and data handling frameworks (spark, beam, etc) - Apply experience with cloud storage and computing for data pipelines in GCP (GCS, BQ, composer, etc) - Write pipelines in Airflow to orchestrate data pipelines - Experience handling data from 3rd party providers is a great plus: Google Analytics, Google Ads etc. - Experience in manipulating, processing and extracting value from large disconnected datasets. - Experience with software engineering practices in data engineering, e.g. release management, testing, etc and corresponding tooling (dbt, great expectations) - Basic knowledge on dbt is a good to have - Knowledge on data privacy and security - Excellent verbal and written communication skills Perks: - Monthly long weekends every third Friday off - Wellness reimbursement to support your health and balance - Paid parental leave - Remote-first with flexibility and trust - Work with a world-class data and marketing team inside a globally recognized brand To apply for this opportunity: Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview!,