Tech Stack
BigQueryCloudETLGoogle Cloud PlatformNumpyPandasPythonSQL
About the role
- Contribute as a Data Engineer to data analytics projects that reshape analytics and enable data-driven decision making for clients.
- Design, implement, and maintain ETL pipelines and data collection from multiple sources, integrating data to meet business needs.
- Build and optimize data models in BigQuery and other relational/non-relational databases using advanced SQL.
- Develop data transformations using DBT and cloud-native services on Google Cloud Platform (GCS, Cloud Functions, Composer).
- Write Python code and use data libraries (Pandas, NumPy) for data processing and analysis.
- Collaborate with cross-functional and global teams to deliver analytics solutions providing competitive advantage to clients.
Requirements
- Extensive Experience working as Data Engineer
- Experience working with Google Cloud Practice GCP (All services, especially BigQuery, GCS, Cloud Function, Composer)
- DBT with active/heavy hands-on experience
- Expertise in SQL, Python, ERD
- Advanced SQL skills and experience with relational and non-relational databases
- Strong Python skills with hands-on experience on Pandas, NumPy and other data-related libraries
- Strong exposure to writing ETL and data collection from multiple sources and integrating based on business needs
- Familiarity with data visualization tools
- Candidates will have to attend code assessment test in GCP, SQL and Python
- Imagine a flexible work environment – whether it's the office, your home, or a blend of both; remote-first approach.
- Part of a global team and opportunities to learn from international talent; English used daily.
- Wellbeing focus including fitness offerings, mental health plans (country-dependent), and generous time off.
- Career growth and development opportunities across projects, offerings, and industries.
- Equal opportunity employer committed to diversity, Intrinsic Dignity and Open Collaboration.
- Join a global tech community with access to LinkedIn and Careers resources.
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLdata modelingSQLPythonDBTdata transformationdata processingrelational databasesnon-relational databasesdata collection
Soft skills
collaborationcommunicationproblem-solvingteamworkadaptabilityanalytical thinkingattention to detailtime managementcritical thinkingcreativity