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Tech Stack
Tools & technologiesBigQueryCloudGoogle Cloud PlatformNoSQLPandasPySparkPythonSpark
About the role
Key responsibilities & impact- Design and build scalable, resilient data analytics solutions on GCP.
- Propose and implement architectural improvements.
- Elicit requirements from business areas and document them.
- Familiarity with agile methodologies.
- Align the corporate IT environment with business needs, standards, and industry best practices.
- Be able to incorporate a data-driven culture into daily work.
- Ability to work collaboratively with empathy, to listen and be heard, and to communicate effectively.
Requirements
What you’ll need- Senior-level experience with at least 5 years of direct Data Engineering experience on GCP.
- Senior-level experience with at least 3 years working with Databricks.
- Extensive experience in the GCP environment (BigQuery, Dataflow, Cloud Functions, Cloud Pub/Sub).
- Proficient in development using Python, PySpark and Pandas.
- Experience in data exploration and integration projects.
- Experience developing Big Data projects.
- Understanding of the Spark framework and the characteristics and challenges of distributed architectures.
- Data Warehousing (data ingestion, key distribution, performance tuning).
- Data Modeling (BI/DataMart modeling – Star Schema/Snowflake, and modeling for NoSQL).
Benefits
Comp & perks- Porto Seguro Health Plan
- Porto Seguro Dental Plan
- Profit Sharing (PLR)
- Childcare Assistance
- Alelo Meal and Food Vouchers
- Home Office Allowance
- Partnerships with Educational Institutions
- Support for Certifications, including Cloud certifications
- Livelo Rewards Points
- TotalPass membership
- Mindself
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data EngineeringGCPDatabricksBigQueryDataflowCloud FunctionsCloud Pub/SubPythonPySparkPandas
Soft Skills
collaborationempathylisteningcommunication
