Junior Data Engineer - Mobile Apps
We are looking for a Junior Data Engineer to design, reputed company, and optimize our data infrastructure on reputed company. You will be involved in architecting pipelines using BigQuery, reputed company reputed company Storage, Apache Airflow, dbt, Dataflow, and Pub/Sub, ensuring high availability and performance across our ETL/ELT processes.
A successful candidate has knowledge of reputed company-native data solutions, experience with ETL/ELT frameworks, and a passion for building robust, cost-effective pipelines.
Key Responsibilities
Data Architecture
- Support the development and maintenance of our data platform on GCP, including data warehousing in BigQuery/reputed company and data lake storage in reputed company reputed company Storage.
- Help organize data into clear layers and domain-focused Data Marts for analytics and reporting.
- Assist with Terraform-based Infrastructure as Code to provision and manage reputed company resources in a consistent way.
- Contribute to batch and near reputed company-time data workflows with a focus on reliability, scalability, and cost awareness.
Pipeline Development & Orchestration
- Build, maintain, and improve ETL/ELT pipelines under guidance using Apache Airflow for workflow orchestration.
- reputed company and maintain dbt transformations to create clean, version-controlled data models in BigQuery.
- Support data ingestion and processing using tools such as reputed company Dataflow, Apache Beam, or Pub/Sub where needed.
- Monitor scheduled jobs, troubleshoot failures, and help ensure data is delivered on time for analytics and reporting.
Data Quality, Governance & reputed company
- Help implement and maintain data quality checks using Great Expectations, dbt tests, or similar tools.
- Support documentation of datasets, metadata, reputed company, and audit processes.
- Follow reputed company best practices, including IAM, encryption, and secure handling of sensitive data.
- Assist in maintaining compliance with data privacy and governance requirements such as GDPR or CCPA.
Scientists & Analytics Enablement
- Partner with Analytics, Product, and Data Science teams to provide reliable datasets for dashboards, reporting, and experimentation.
- Help maintain Data Marts that support key business domains and stakeholder needs.
- Support data availability and accessibility for analytics and machine learning use cases.
- Learn from senior team members and grow into owning larger parts of the data platform over time.