Data Engineer/Analyst

• Develop and deploy code in Airflow and Terraform for access management, data controls, and self-service ETL creation
• Construct new aggregate tables and join/aggregation logic that is helpful for the analysis and reporting of measurements and marketing
• To ingest data into BigQuery through APIs, use Airflow ETL development
• Verify that data quality requirements are met (edge cases, sanity check, etc.)
• Create Python/SQL monitoring/alerting tools for service health reporting.
• Utilize production-related data
• Build scalable infrastructure platforms for other engineering and development teams
• Interface with third-party vendors
• Design and implement tooling that supports dozens of data science, machine learning, and engineering teams across the company
• Ingest data from APIs
• Translate stakeholder needs into technical solutions by taking part in meetings with stakeholders to discuss technical/operational difficulties and suggest solutions

Job Requirements:

• Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
• At least 5+ years of relevant experience as a Data Engineer/Analyst
• Demonstrable experience working with Python / SQL
• Experience managing data infrastructure with cloud services, BigQuery, GCP, Airflow, and Terraform
• Design and implement ETL data pipelines
• Extensive development experience in pulling data from API and ingesting it into BigQuery
• Familiar with data quality concepts (edge cases, sanity check )
• In-depth knowledge of Data aggregation as well as Dashboards design and creation
• Strong API design, development, and integration experience
• Knowledge and experience building user authentication and authorization (IAM setup) between multiple systems, servers, and environments
• Excellent English communication skills