Senior Data Engineer – Databricks
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Job Description
Remote Senior Data Engineer (Databricks) responsible for designing, automating, and maintaining data pipelines and structures. Works with Databricks, Azure Data Factory, Python/PySpark, and modern data lake technologies.
Responsibilities:
- Work on automating and optimizing data flows and processes;
- Develop technical solutions to ingest, process, and store data from multiple sources and in various formats (structured/unstructured data, files, XML or JSON, Parquet, APIs);
- Perform activities related to the analysis, development, and maintenance of data processes and structures;
- Contribute to data architecture, mapping, and modeling;
- Maintain an enterprise perspective aligned with industry best practices, solution blueprints, and solution designs;
- Experience with Artificial Intelligence solutions and GCP is a plus.
Requirements:
- Experience in data projects;
- Experience with the Databricks platform;
- Experience with Azure Data Factory;
- Programming experience — Python, SQL, PySpark;
- Experience automating information processes (ETL/ELT);
- Experience with version control using Git;
- Experience with relational databases and NoSQL;
- Experience with Azure Cloud, Data Factory, Synapse, ADLS Gen2, Delta Lake;
- Experience in data engineering and integration (e.g., ETL, APIs, microservices);
- Experience with Linux environments, basic commands, and shell scripting;
- Knowledge of streaming processes with Event Hub;
- Knowledge of data representation formats and scripts such as JSON, XML, YAML.
Benefits:
- Meal/food voucher of R$38/day (flex card)
- Flex allowance of R$210/month (flex card)
- TotalPass
- Health and dental insurance
- Life insurance
- Profit-sharing (PLR)
- Birthday day off
- Training and certifications paid for by Aggrandize
- Referral bonus program
- Career development track
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